Overview

Dataset statistics

Number of variables519
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory206.9 KiB
Average record size in memory4.1 KiB

Variable types

NUM518
CAT1

Warnings

state has unique values Unique
2005Q1_gdp has unique values Unique
2005Q2_gdp has unique values Unique
2005Q3_gdp has unique values Unique
2005Q4_gdp has unique values Unique
2006Q1_gdp has unique values Unique
2006Q2_gdp has unique values Unique
2006Q3_gdp has unique values Unique
2006Q4_gdp has unique values Unique
2007Q1_gdp has unique values Unique
2007Q2_gdp has unique values Unique
2007Q3_gdp has unique values Unique
2007Q4_gdp has unique values Unique
2008Q1_gdp has unique values Unique
2008Q2_gdp has unique values Unique
2008Q3_gdp has unique values Unique
2008Q4_gdp has unique values Unique
2009Q1_gdp has unique values Unique
2009Q2_gdp has unique values Unique
2009Q3_gdp has unique values Unique
2009Q4_gdp has unique values Unique
2010Q1_gdp has unique values Unique
2010Q2_gdp has unique values Unique
2010Q3_gdp has unique values Unique
2010Q4_gdp has unique values Unique
2011Q1_gdp has unique values Unique
2011Q2_gdp has unique values Unique
2011Q3_gdp has unique values Unique
2011Q4_gdp has unique values Unique
2012Q1_gdp has unique values Unique
2012Q2_gdp has unique values Unique
2012Q3_gdp has unique values Unique
2012Q4_gdp has unique values Unique
2013Q1_gdp has unique values Unique
2013Q2_gdp has unique values Unique
2013Q3_gdp has unique values Unique
2013Q4_gdp has unique values Unique
2014Q1_gdp has unique values Unique
2014Q2_gdp has unique values Unique
2014Q3_gdp has unique values Unique
2014Q4_gdp has unique values Unique
2015Q1_gdp has unique values Unique
2015Q2_gdp has unique values Unique
2015Q3_gdp has unique values Unique
2015Q4_gdp has unique values Unique
2016Q1_gdp has unique values Unique
2016Q2_gdp has unique values Unique
2016Q3_gdp has unique values Unique
1950Q1_personal_income has unique values Unique
1950Q2_personal_income has unique values Unique
1950Q3_personal_income has unique values Unique
1950Q4_personal_income has unique values Unique
1951Q1_personal_income has unique values Unique
1951Q2_personal_income has unique values Unique
1951Q3_personal_income has unique values Unique
1951Q4_personal_income has unique values Unique
1952Q1_personal_income has unique values Unique
1952Q2_personal_income has unique values Unique
1952Q3_personal_income has unique values Unique
1952Q4_personal_income has unique values Unique
1953Q1_personal_income has unique values Unique
1953Q2_personal_income has unique values Unique
1953Q3_personal_income has unique values Unique
1953Q4_personal_income has unique values Unique
1954Q1_personal_income has unique values Unique
1954Q2_personal_income has unique values Unique
1954Q3_personal_income has unique values Unique
1954Q4_personal_income has unique values Unique
1955Q1_personal_income has unique values Unique
1955Q2_personal_income has unique values Unique
1955Q3_personal_income has unique values Unique
1955Q4_personal_income has unique values Unique
1956Q1_personal_income has unique values Unique
1956Q2_personal_income has unique values Unique
1956Q3_personal_income has unique values Unique
1956Q4_personal_income has unique values Unique
1957Q1_personal_income has unique values Unique
1957Q2_personal_income has unique values Unique
1957Q3_personal_income has unique values Unique
1957Q4_personal_income has unique values Unique
1958Q1_personal_income has unique values Unique
1958Q2_personal_income has unique values Unique
1958Q3_personal_income has unique values Unique
1958Q4_personal_income has unique values Unique
1959Q1_personal_income has unique values Unique
1959Q2_personal_income has unique values Unique
1959Q3_personal_income has unique values Unique
1959Q4_personal_income has unique values Unique
1960Q1_personal_income has unique values Unique
1960Q2_personal_income has unique values Unique
1960Q3_personal_income has unique values Unique
1960Q4_personal_income has unique values Unique
1961Q1_personal_income has unique values Unique
1961Q2_personal_income has unique values Unique
1961Q3_personal_income has unique values Unique
1961Q4_personal_income has unique values Unique
1962Q1_personal_income has unique values Unique
1962Q2_personal_income has unique values Unique
1962Q3_personal_income has unique values Unique
1962Q4_personal_income has unique values Unique
1963Q1_personal_income has unique values Unique
1963Q2_personal_income has unique values Unique
1963Q3_personal_income has unique values Unique
1963Q4_personal_income has unique values Unique
1964Q1_personal_income has unique values Unique
1964Q2_personal_income has unique values Unique
1964Q3_personal_income has unique values Unique
1964Q4_personal_income has unique values Unique
1965Q1_personal_income has unique values Unique
1965Q2_personal_income has unique values Unique
1965Q3_personal_income has unique values Unique
1965Q4_personal_income has unique values Unique
1966Q1_personal_income has unique values Unique
1966Q2_personal_income has unique values Unique
1966Q3_personal_income has unique values Unique
1966Q4_personal_income has unique values Unique
1967Q1_personal_income has unique values Unique
1967Q2_personal_income has unique values Unique
1967Q3_personal_income has unique values Unique
1967Q4_personal_income has unique values Unique
1968Q1_personal_income has unique values Unique
1968Q2_personal_income has unique values Unique
1968Q3_personal_income has unique values Unique
1968Q4_personal_income has unique values Unique
1969Q1_personal_income has unique values Unique
1969Q2_personal_income has unique values Unique
1969Q3_personal_income has unique values Unique
1969Q4_personal_income has unique values Unique
1970Q1_personal_income has unique values Unique
1970Q2_personal_income has unique values Unique
1970Q3_personal_income has unique values Unique
1970Q4_personal_income has unique values Unique
1971Q1_personal_income has unique values Unique
1971Q2_personal_income has unique values Unique
1971Q3_personal_income has unique values Unique
1971Q4_personal_income has unique values Unique
1972Q1_personal_income has unique values Unique
1972Q2_personal_income has unique values Unique
1972Q3_personal_income has unique values Unique
1972Q4_personal_income has unique values Unique
1973Q1_personal_income has unique values Unique
1973Q2_personal_income has unique values Unique
1973Q3_personal_income has unique values Unique
1973Q4_personal_income has unique values Unique
1974Q1_personal_income has unique values Unique
1974Q2_personal_income has unique values Unique
1974Q3_personal_income has unique values Unique
1974Q4_personal_income has unique values Unique
1975Q1_personal_income has unique values Unique
1975Q2_personal_income has unique values Unique
1975Q3_personal_income has unique values Unique
1975Q4_personal_income has unique values Unique
1976Q1_personal_income has unique values Unique
1976Q2_personal_income has unique values Unique
1976Q3_personal_income has unique values Unique
1976Q4_personal_income has unique values Unique
1977Q1_personal_income has unique values Unique
1977Q2_personal_income has unique values Unique
1977Q3_personal_income has unique values Unique
1977Q4_personal_income has unique values Unique
1978Q1_personal_income has unique values Unique
1978Q2_personal_income has unique values Unique
1978Q3_personal_income has unique values Unique
1978Q4_personal_income has unique values Unique
1979Q1_personal_income has unique values Unique
1979Q2_personal_income has unique values Unique
1979Q3_personal_income has unique values Unique
1979Q4_personal_income has unique values Unique
1980Q1_personal_income has unique values Unique
1980Q2_personal_income has unique values Unique
1980Q3_personal_income has unique values Unique
1980Q4_personal_income has unique values Unique
1981Q1_personal_income has unique values Unique
1981Q2_personal_income has unique values Unique
1981Q3_personal_income has unique values Unique
1981Q4_personal_income has unique values Unique
1982Q1_personal_income has unique values Unique
1982Q2_personal_income has unique values Unique
1982Q3_personal_income has unique values Unique
1982Q4_personal_income has unique values Unique
1983Q1_personal_income has unique values Unique
1983Q2_personal_income has unique values Unique
1983Q3_personal_income has unique values Unique
1983Q4_personal_income has unique values Unique
1984Q1_personal_income has unique values Unique
1984Q2_personal_income has unique values Unique
1984Q3_personal_income has unique values Unique
1984Q4_personal_income has unique values Unique
1985Q1_personal_income has unique values Unique
1985Q2_personal_income has unique values Unique
1985Q3_personal_income has unique values Unique
1985Q4_personal_income has unique values Unique
1986Q1_personal_income has unique values Unique
1986Q2_personal_income has unique values Unique
1986Q3_personal_income has unique values Unique
1986Q4_personal_income has unique values Unique
1987Q1_personal_income has unique values Unique
1987Q2_personal_income has unique values Unique
1987Q3_personal_income has unique values Unique
1987Q4_personal_income has unique values Unique
1988Q1_personal_income has unique values Unique
1988Q2_personal_income has unique values Unique
1988Q3_personal_income has unique values Unique
1988Q4_personal_income has unique values Unique
1989Q1_personal_income has unique values Unique
1989Q2_personal_income has unique values Unique
1989Q3_personal_income has unique values Unique
1989Q4_personal_income has unique values Unique
1990Q1_personal_income has unique values Unique
1990Q2_personal_income has unique values Unique
1990Q3_personal_income has unique values Unique
1990Q4_personal_income has unique values Unique
1991Q1_personal_income has unique values Unique
1991Q2_personal_income has unique values Unique
1991Q3_personal_income has unique values Unique
1991Q4_personal_income has unique values Unique
1992Q1_personal_income has unique values Unique
1992Q2_personal_income has unique values Unique
1992Q3_personal_income has unique values Unique
1992Q4_personal_income has unique values Unique
1993Q1_personal_income has unique values Unique
1993Q2_personal_income has unique values Unique
1993Q3_personal_income has unique values Unique
1993Q4_personal_income has unique values Unique
1994Q1_personal_income has unique values Unique
1994Q2_personal_income has unique values Unique
1994Q3_personal_income has unique values Unique
1994Q4_personal_income has unique values Unique
1995Q1_personal_income has unique values Unique
1995Q2_personal_income has unique values Unique
1995Q3_personal_income has unique values Unique
1995Q4_personal_income has unique values Unique
1996Q1_personal_income has unique values Unique
1996Q2_personal_income has unique values Unique
1996Q3_personal_income has unique values Unique
1996Q4_personal_income has unique values Unique
1997Q1_personal_income has unique values Unique
1997Q2_personal_income has unique values Unique
1997Q3_personal_income has unique values Unique
1997Q4_personal_income has unique values Unique
1998Q1_personal_income has unique values Unique
1998Q2_personal_income has unique values Unique
1998Q3_personal_income has unique values Unique
1998Q4_personal_income has unique values Unique
1999Q1_personal_income has unique values Unique
1999Q2_personal_income has unique values Unique
1999Q3_personal_income has unique values Unique
1999Q4_personal_income has unique values Unique
2000Q1_personal_income has unique values Unique
2000Q2_personal_income has unique values Unique
2000Q3_personal_income has unique values Unique
2000Q4_personal_income has unique values Unique
2001Q1_personal_income has unique values Unique
2001Q2_personal_income has unique values Unique
2001Q3_personal_income has unique values Unique
2001Q4_personal_income has unique values Unique
2002Q1_personal_income has unique values Unique
2002Q2_personal_income has unique values Unique
2002Q3_personal_income has unique values Unique
2002Q4_personal_income has unique values Unique
2003Q1_personal_income has unique values Unique
2003Q2_personal_income has unique values Unique
2003Q3_personal_income has unique values Unique
2003Q4_personal_income has unique values Unique
2004Q1_personal_income has unique values Unique
2004Q2_personal_income has unique values Unique
2004Q3_personal_income has unique values Unique
2004Q4_personal_income has unique values Unique
2005Q1_personal_income has unique values Unique
2005Q2_personal_income has unique values Unique
2005Q3_personal_income has unique values Unique
2005Q4_personal_income has unique values Unique
2006Q1_personal_income has unique values Unique
2006Q2_personal_income has unique values Unique
2006Q3_personal_income has unique values Unique
2006Q4_personal_income has unique values Unique
2007Q1_personal_income has unique values Unique
2007Q2_personal_income has unique values Unique
2007Q3_personal_income has unique values Unique
2007Q4_personal_income has unique values Unique
2008Q1_personal_income has unique values Unique
2008Q2_personal_income has unique values Unique
2008Q3_personal_income has unique values Unique
2008Q4_personal_income has unique values Unique
2009Q1_personal_income has unique values Unique
2009Q2_personal_income has unique values Unique
2009Q3_personal_income has unique values Unique
2009Q4_personal_income has unique values Unique
2010Q1_personal_income has unique values Unique
2010Q2_personal_income has unique values Unique
2010Q3_personal_income has unique values Unique
2010Q4_personal_income has unique values Unique
2011Q1_personal_income has unique values Unique
2011Q2_personal_income has unique values Unique
2011Q3_personal_income has unique values Unique
2011Q4_personal_income has unique values Unique
2012Q1_personal_income has unique values Unique
2012Q2_personal_income has unique values Unique
2012Q3_personal_income has unique values Unique
2012Q4_personal_income has unique values Unique
2013Q1_personal_income has unique values Unique
2013Q2_personal_income has unique values Unique
2013Q3_personal_income has unique values Unique
2013Q4_personal_income has unique values Unique
2014Q1_personal_income has unique values Unique
2014Q2_personal_income has unique values Unique
2014Q3_personal_income has unique values Unique
2014Q4_personal_income has unique values Unique
2015Q1_personal_income has unique values Unique
2015Q2_personal_income has unique values Unique
2015Q3_personal_income has unique values Unique
2015Q4_personal_income has unique values Unique
2016Q1_personal_income has unique values Unique
2016Q2_personal_income has unique values Unique
2016Q3_personal_income has unique values Unique

Reproduction

Analysis started2020-11-25 02:51:58.853289
Analysis finished2020-11-25 02:52:02.735331
Duration3.88 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

state
Categorical

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size408.0 B
OK
 
1
UT
 
1
ND
 
1
WY
 
1
TX
 
1
Other values (46)
46 
ValueCountFrequency (%) 
OK12.0%
 
UT12.0%
 
ND12.0%
 
WY12.0%
 
TX12.0%
 
VA12.0%
 
FL12.0%
 
NE12.0%
 
MT12.0%
 
NY12.0%
 
Other values (41)4180.4%
 
2020-11-24T21:52:02.920966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique51 ?
Unique (%)100.0%

2005Q1_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249731.3333
Minimum23276
Maximum1722091
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:03.076791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum23276
5-th percentile27718
Q164611.5
median145585
Q3315219.5
95-th percentile820477
Maximum1722091
Range1698815
Interquartile range (IQR)250608

Descriptive statistics

Standard deviation303362.5632
Coefficient of variation (CV)1.21475571
Kurtosis11.0601808
Mean249731.3333
Median Absolute Deviation (MAD)94697
Skewness2.950642458
Sum12736298
Variance9.202884473e+10
MonotocityNot monotonic
2020-11-24T21:52:03.240867image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8844612.0%
 
12137412.0%
 
22073412.0%
 
96057012.0%
 
5637512.0%
 
22379512.0%
 
14558512.0%
 
12228812.0%
 
46060812.0%
 
24144712.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2327612.0%
 
2420512.0%
 
2558612.0%
 
2985012.0%
 
3085112.0%
 
ValueCountFrequency (%) 
172209112.0%
 
99607212.0%
 
96057012.0%
 
68038412.0%
 
57866712.0%
 

2005Q2_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean252863.0196
Minimum23371
Maximum1747827
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:03.413836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum23371
5-th percentile28528
Q165307.5
median146010
Q3319147
95-th percentile830218
Maximum1747827
Range1724456
Interquartile range (IQR)253839.5

Descriptive statistics

Standard deviation307696.3359
Coefficient of variation (CV)1.216849883
Kurtosis11.12964436
Mean252863.0196
Median Absolute Deviation (MAD)95420
Skewness2.962455
Sum12896014
Variance9.467703515e+10
MonotocityNot monotonic
2020-11-24T21:52:03.548571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2699212.0%
 
46378212.0%
 
24415812.0%
 
2443212.0%
 
58284212.0%
 
22482012.0%
 
97029012.0%
 
8926412.0%
 
19857212.0%
 
5789912.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2337112.0%
 
2443212.0%
 
2699212.0%
 
3006412.0%
 
3082812.0%
 
ValueCountFrequency (%) 
174782712.0%
 
101719212.0%
 
97029012.0%
 
69014612.0%
 
58284212.0%
 

2005Q3_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean257382.0784
Minimum23584
Maximum1787427
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:03.672197image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum23584
5-th percentile29227.5
Q166352
median147654
Q3322202
95-th percentile855711
Maximum1787427
Range1763843
Interquartile range (IQR)255850

Descriptive statistics

Standard deviation314473.0295
Coefficient of variation (CV)1.22181401
Kurtosis11.20009742
Mean257382.0784
Median Absolute Deviation (MAD)99484
Skewness2.974793851
Sum13126486
Variance9.889328627e+10
MonotocityNot monotonic
2020-11-24T21:52:03.795412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
35942312.0%
 
22940912.0%
 
5880812.0%
 
4767112.0%
 
47122212.0%
 
39416312.0%
 
71339312.0%
 
12702212.0%
 
7389612.0%
 
2358412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2358412.0%
 
2467812.0%
 
2768412.0%
 
3077112.0%
 
3147412.0%
 
ValueCountFrequency (%) 
178742712.0%
 
103100912.0%
 
99802912.0%
 
71339312.0%
 
59162212.0%
 

2005Q4_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260820.5882
Minimum23924
Maximum1809426
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:03.919969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum23924
5-th percentile30710
Q167785
median150891
Q3326355
95-th percentile874237
Maximum1809426
Range1785502
Interquartile range (IQR)258570

Descriptive statistics

Standard deviation319010.9388
Coefficient of variation (CV)1.223104897
Kurtosis11.16563372
Mean260820.5882
Median Absolute Deviation (MAD)95657
Skewness2.980936605
Sum13301850
Variance1.017679791e+11
MonotocityNot monotonic
2020-11-24T21:52:04.036780image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
59263712.0%
 
12240412.0%
 
5523412.0%
 
22813312.0%
 
34911712.0%
 
22342112.0%
 
51666712.0%
 
39596012.0%
 
4707912.0%
 
5823212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2392412.0%
 
2517312.0%
 
2955612.0%
 
3186412.0%
 
3236812.0%
 
ValueCountFrequency (%) 
180942612.0%
 
104945812.0%
 
103132912.0%
 
71714512.0%
 
59263712.0%
 

2006Q1_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266030.6078
Minimum24217
Maximum1857944
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:04.170655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum24217
5-th percentile31275
Q168302
median159942
Q3332570.5
95-th percentile896103.5
Maximum1857944
Range1833727
Interquartile range (IQR)264268.5

Descriptive statistics

Standard deviation326836.3293
Coefficient of variation (CV)1.228566637
Kurtosis11.3311344
Mean266030.6078
Median Absolute Deviation (MAD)104140
Skewness3.004526937
Sum13567561
Variance1.068219861e+11
MonotocityNot monotonic
2020-11-24T21:52:04.288303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
24729512.0%
 
3061912.0%
 
20536712.0%
 
31019212.0%
 
4974612.0%
 
14058812.0%
 
25232912.0%
 
5879112.0%
 
5533312.0%
 
37981012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2421712.0%
 
2569012.0%
 
3061912.0%
 
3193112.0%
 
3197212.0%
 
ValueCountFrequency (%) 
185794412.0%
 
107027112.0%
 
105876412.0%
 
73344312.0%
 
61552512.0%
 

2006Q2_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268972.0588
Minimum24380
Maximum1865835
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:04.410635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum24380
5-th percentile32446
Q169796
median161843
Q3336253
95-th percentile906133
Maximum1865835
Range1841455
Interquartile range (IQR)266457

Descriptive statistics

Standard deviation329052.0661
Coefficient of variation (CV)1.223368953
Kurtosis11.1781664
Mean268972.0588
Median Absolute Deviation (MAD)104911
Skewness2.98667246
Sum13717575
Variance1.082752622e+11
MonotocityNot monotonic
2020-11-24T21:52:04.527069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
23948112.0%
 
24465912.0%
 
7865012.0%
 
52255212.0%
 
22059612.0%
 
12869112.0%
 
37931012.0%
 
5905212.0%
 
61614412.0%
 
23556012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2438012.0%
 
2632212.0%
 
3230212.0%
 
3259012.0%
 
3262012.0%
 
ValueCountFrequency (%) 
186583512.0%
 
108170612.0%
 
107156812.0%
 
74069812.0%
 
61614412.0%
 

2006Q3_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean271085.1373
Minimum24411
Maximum1886549
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:04.650178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum24411
5-th percentile33120.5
Q170094.5
median165155
Q3338704.5
95-th percentile910708
Maximum1886549
Range1862138
Interquartile range (IQR)268610

Descriptive statistics

Standard deviation332283.0095
Coefficient of variation (CV)1.225751485
Kurtosis11.25984229
Mean271085.1373
Median Absolute Deviation (MAD)107803
Skewness2.997561779
Sum13825342
Variance1.104119984e+11
MonotocityNot monotonic
2020-11-24T21:52:04.772732image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
13631912.0%
 
23709212.0%
 
4831512.0%
 
23339812.0%
 
12869112.0%
 
4534912.0%
 
6264112.0%
 
20907212.0%
 
46711912.0%
 
107425312.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2441112.0%
 
2650512.0%
 
3287912.0%
 
3336212.0%
 
3387212.0%
 
ValueCountFrequency (%) 
188654912.0%
 
109671512.0%
 
107425312.0%
 
74716312.0%
 
62084612.0%
 

2006Q4_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean274165.1373
Minimum24268
Maximum1907754
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:04.896061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum24268
5-th percentile33190
Q170627.5
median166495
Q3347187
95-th percentile929424
Maximum1907754
Range1883486
Interquartile range (IQR)276559.5

Descriptive statistics

Standard deviation337096.3042
Coefficient of variation (CV)1.229537452
Kurtosis11.1454676
Mean274165.1373
Median Absolute Deviation (MAD)109097
Skewness2.989275605
Sum13982422
Variance1.136339183e+11
MonotocityNot monotonic
2020-11-24T21:52:05.013559image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11532712.0%
 
20814812.0%
 
5739812.0%
 
39302712.0%
 
41016112.0%
 
109547112.0%
 
4817512.0%
 
23441112.0%
 
190775412.0%
 
6217912.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2426812.0%
 
2713712.0%
 
3264912.0%
 
3373112.0%
 
3390412.0%
 
ValueCountFrequency (%) 
190775412.0%
 
111599412.0%
 
109547112.0%
 
76337712.0%
 
63241112.0%
 

2007Q1_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean277410.2549
Minimum24510
Maximum1915172
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:05.138635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum24510
5-th percentile34659.5
Q171107
median165633
Q3351904.5
95-th percentile947392
Maximum1915172
Range1890662
Interquartile range (IQR)280797.5

Descriptive statistics

Standard deviation340889.1269
Coefficient of variation (CV)1.228826696
Kurtosis10.84916745
Mean277410.2549
Median Absolute Deviation (MAD)107947
Skewness2.962538825
Sum14147923
Variance1.162053968e+11
MonotocityNot monotonic
2020-11-24T21:52:05.261347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5337412.0%
 
113434912.0%
 
28268012.0%
 
11986112.0%
 
20561812.0%
 
37278012.0%
 
33102912.0%
 
4886712.0%
 
16682112.0%
 
191517212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2451012.0%
 
2839912.0%
 
3441612.0%
 
3490312.0%
 
3584812.0%
 
ValueCountFrequency (%) 
191517212.0%
 
113556712.0%
 
113434912.0%
 
76043512.0%
 
64051912.0%
 

2007Q2_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean281105.8235
Minimum24808
Maximum1943318
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:05.387158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum24808
5-th percentile35632.5
Q172220.5
median168514
Q3359936.5
95-th percentile938521.5
Maximum1943318
Range1918510
Interquartile range (IQR)287716

Descriptive statistics

Standard deviation344712.3888
Coefficient of variation (CV)1.22627267
Kurtosis10.99936089
Mean281105.8235
Median Absolute Deviation (MAD)109811
Skewness2.977934037
Sum14336397
Variance1.18826631e+11
MonotocityNot monotonic
2020-11-24T21:52:05.507000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15520412.0%
 
5870312.0%
 
34299312.0%
 
8017812.0%
 
26948912.0%
 
37688012.0%
 
16926112.0%
 
40375612.0%
 
26192912.0%
 
5418312.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2480812.0%
 
2849612.0%
 
3540112.0%
 
3586412.0%
 
3593012.0%
 
ValueCountFrequency (%) 
194331812.0%
 
117719912.0%
 
110935412.0%
 
76768912.0%
 
64408912.0%
 

2007Q3_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283976.549
Minimum25099
Maximum1968297
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:05.633350image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25099
5-th percentile35316.5
Q173902.5
median171456
Q3365935.5
95-th percentile943638
Maximum1968297
Range1943198
Interquartile range (IQR)292033

Descriptive statistics

Standard deviation348285.519
Coefficient of variation (CV)1.226458735
Kurtosis11.1118932
Mean283976.549
Median Absolute Deviation (MAD)112024
Skewness2.98963825
Sum14482804
Variance1.213028027e+11
MonotocityNot monotonic
2020-11-24T21:52:06.101491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14886312.0%
 
24298012.0%
 
6047012.0%
 
8197212.0%
 
11729712.0%
 
27307212.0%
 
39723112.0%
 
28757612.0%
 
9246112.0%
 
9693812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2509912.0%
 
2882512.0%
 
3451312.0%
 
3612012.0%
 
3661512.0%
 
ValueCountFrequency (%) 
196829712.0%
 
119144112.0%
 
110919212.0%
 
77808412.0%
 
64952612.0%
 

2007Q4_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean286224.8431
Minimum24977
Maximum1999304
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:06.229306image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum24977
5-th percentile35900
Q174939
median172156
Q3371893
95-th percentile938870
Maximum1999304
Range1974327
Interquartile range (IQR)296954

Descriptive statistics

Standard deviation351983.4124
Coefficient of variation (CV)1.22974445
Kurtosis11.41554991
Mean286224.8431
Median Absolute Deviation (MAD)112487
Skewness3.028483164
Sum14597467
Variance1.238923226e+11
MonotocityNot monotonic
2020-11-24T21:52:06.348564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
28966212.0%
 
39644912.0%
 
48696512.0%
 
8312312.0%
 
4727612.0%
 
42346712.0%
 
6173812.0%
 
121386512.0%
 
110468012.0%
 
8383212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2497712.0%
 
2982812.0%
 
3489812.0%
 
3690212.0%
 
3836412.0%
 
ValueCountFrequency (%) 
199930412.0%
 
121386512.0%
 
110468012.0%
 
77306012.0%
 
65252712.0%
 

2008Q1_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285859.8431
Minimum25449
Maximum1969526
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:06.474436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25449
5-th percentile37216.5
Q175232
median171941
Q3369578
95-th percentile940742
Maximum1969526
Range1944077
Interquartile range (IQR)294346

Descriptive statistics

Standard deviation349928.0447
Coefficient of variation (CV)1.224124525
Kurtosis11.00613991
Mean285859.8431
Median Absolute Deviation (MAD)112245
Skewness2.988228757
Sum14578852
Variance1.224496365e+11
MonotocityNot monotonic
2020-11-24T21:52:06.596840image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
24409512.0%
 
17194112.0%
 
17772512.0%
 
12767612.0%
 
41170212.0%
 
3768312.0%
 
5969612.0%
 
6147212.0%
 
13918112.0%
 
64273012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2544912.0%
 
3147812.0%
 
3675012.0%
 
3768312.0%
 
4047312.0%
 
ValueCountFrequency (%) 
196952612.0%
 
122530312.0%
 
112378412.0%
 
75770012.0%
 
64273012.0%
 

2008Q2_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean288666.6078
Minimum25367
Maximum2005086
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:06.728287image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25367
5-th percentile37418.5
Q176446
median174068
Q3371139.5
95-th percentile931801
Maximum2005086
Range1979719
Interquartile range (IQR)294693.5

Descriptive statistics

Standard deviation354530.4671
Coefficient of variation (CV)1.228165841
Kurtosis11.32001378
Mean288666.6078
Median Absolute Deviation (MAD)112815
Skewness3.030430884
Sum14721997
Variance1.256918521e+11
MonotocityNot monotonic
2020-11-24T21:52:06.848796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5656612.0%
 
18102012.0%
 
22149412.0%
 
49810112.0%
 
9797212.0%
 
24977712.0%
 
3243212.0%
 
110865112.0%
 
29507812.0%
 
12948412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2536712.0%
 
3243212.0%
 
3713712.0%
 
3770012.0%
 
4431312.0%
 
ValueCountFrequency (%) 
200508612.0%
 
126332712.0%
 
110865112.0%
 
75495112.0%
 
64478512.0%
 

2008Q3_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289219.5686
Minimum25545
Maximum2012734
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:06.986847image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25545
5-th percentile37424
Q176353
median174268
Q3370269
95-th percentile932607.5
Maximum2012734
Range1987189
Interquartile range (IQR)293916

Descriptive statistics

Standard deviation355573.5466
Coefficient of variation (CV)1.229424234
Kurtosis11.39002853
Mean289219.5686
Median Absolute Deviation (MAD)111642
Skewness3.041588388
Sum14750198
Variance1.264325471e+11
MonotocityNot monotonic
2020-11-24T21:52:07.110913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
74790112.0%
 
16323712.0%
 
5826612.0%
 
9755312.0%
 
11717812.0%
 
12938812.0%
 
126661512.0%
 
17426812.0%
 
49296612.0%
 
38250612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2554512.0%
 
3342612.0%
 
3727412.0%
 
3757412.0%
 
4498512.0%
 
ValueCountFrequency (%) 
201273412.0%
 
126661512.0%
 
111731412.0%
 
74790112.0%
 
64609312.0%
 

2008Q4_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283438.1176
Minimum25505
Maximum1948359
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:07.239933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25505
5-th percentile36265
Q174853.5
median170307
Q3365020.5
95-th percentile918382.5
Maximum1948359
Range1922854
Interquartile range (IQR)290167

Descriptive statistics

Standard deviation345642.4743
Coefficient of variation (CV)1.219463624
Kurtosis11.06276481
Mean283438.1176
Median Absolute Deviation (MAD)109889
Skewness2.993526043
Sum14455344
Variance1.1946872e+11
MonotocityNot monotonic
2020-11-24T21:52:07.366040image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9650612.0%
 
3650512.0%
 
5495812.0%
 
6404512.0%
 
15684112.0%
 
37738412.0%
 
18141412.0%
 
26912312.0%
 
24822812.0%
 
110403512.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2550512.0%
 
3264312.0%
 
3602512.0%
 
3650512.0%
 
4171612.0%
 
ValueCountFrequency (%) 
194835912.0%
 
121830412.0%
 
110403512.0%
 
73273012.0%
 
63718412.0%
 

2009Q1_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280145.4902
Minimum25273
Maximum1938823
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:07.497938image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25273
5-th percentile36192
Q174687.5
median168708
Q3354266.5
95-th percentile915588.5
Maximum1938823
Range1913550
Interquartile range (IQR)279579

Descriptive statistics

Standard deviation341846.0301
Coefficient of variation (CV)1.22024463
Kurtosis11.29674212
Mean280145.4902
Median Absolute Deviation (MAD)107939
Skewness3.015076928
Sum14287420
Variance1.168587083e+11
MonotocityNot monotonic
2020-11-24T21:52:07.615631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
24550212.0%
 
34768112.0%
 
13407612.0%
 
40453812.0%
 
2527312.0%
 
11422812.0%
 
72740512.0%
 
12254812.0%
 
3601012.0%
 
63236112.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2527312.0%
 
3196312.0%
 
3601012.0%
 
3637412.0%
 
3916312.0%
 
ValueCountFrequency (%) 
193882312.0%
 
117016612.0%
 
110377212.0%
 
72740512.0%
 
63236112.0%
 

2009Q2_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean279257.9216
Minimum25207
Maximum1907183
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:07.740214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25207
5-th percentile36088.5
Q173638
median167954
Q3355174.5
95-th percentile933891
Maximum1907183
Range1881976
Interquartile range (IQR)281536.5

Descriptive statistics

Standard deviation340139.9137
Coefficient of variation (CV)1.218013483
Kurtosis10.77056609
Mean279257.9216
Median Absolute Deviation (MAD)107177
Skewness2.957740003
Sum14242154
Variance1.156951609e+11
MonotocityNot monotonic
2020-11-24T21:52:07.861132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3673312.0%
 
15938312.0%
 
5764812.0%
 
14225212.0%
 
15402612.0%
 
11994212.0%
 
114973312.0%
 
20739312.0%
 
38505512.0%
 
25820412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2520712.0%
 
3187512.0%
 
3572312.0%
 
3645412.0%
 
3673312.0%
 
ValueCountFrequency (%) 
190718312.0%
 
115014212.0%
 
114973312.0%
 
71804912.0%
 
63884912.0%
 

2009Q3_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280093.098
Minimum25760
Maximum1894692
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:07.987080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25760
5-th percentile36264.5
Q173724.5
median168176
Q3354544.5
95-th percentile937723.5
Maximum1894692
Range1868932
Interquartile range (IQR)280820

Descriptive statistics

Standard deviation339885.3449
Coefficient of variation (CV)1.213472761
Kurtosis10.51601774
Mean280093.098
Median Absolute Deviation (MAD)104715
Skewness2.930871671
Sum14284748
Variance1.155220477e+11
MonotocityNot monotonic
2020-11-24T21:52:08.101009image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
48422212.0%
 
47721112.0%
 
24531312.0%
 
3623712.0%
 
24479712.0%
 
4780112.0%
 
2576012.0%
 
6505012.0%
 
116125812.0%
 
63645512.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2576012.0%
 
3271412.0%
 
3623712.0%
 
3629212.0%
 
3682912.0%
 
ValueCountFrequency (%) 
189469212.0%
 
116125812.0%
 
115995412.0%
 
71549312.0%
 
63645512.0%
 

2009Q4_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283649.7059
Minimum25868
Maximum1907762
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:08.225841image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25868
5-th percentile36339
Q174388.5
median168420
Q3359236
95-th percentile952265
Maximum1907762
Range1881894
Interquartile range (IQR)284847.5

Descriptive statistics

Standard deviation343953.8767
Coefficient of variation (CV)1.212600858
Kurtosis10.31566327
Mean283649.7059
Median Absolute Deviation (MAD)105635
Skewness2.909899478
Sum14466135
Variance1.183042693e+11
MonotocityNot monotonic
2020-11-24T21:52:08.354372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11954912.0%
 
9884212.0%
 
23557012.0%
 
41246212.0%
 
9340112.0%
 
24361512.0%
 
6531912.0%
 
8345812.0%
 
118621012.0%
 
14121612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2586812.0%
 
3340312.0%
 
3633012.0%
 
3634812.0%
 
3709012.0%
 
ValueCountFrequency (%) 
190776212.0%
 
118621012.0%
 
117845712.0%
 
72607312.0%
 
64446212.0%
 

2010Q1_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285864.0392
Minimum25994
Maximum1928260
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:08.499281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25994
5-th percentile37497
Q176108
median170249
Q3362575
95-th percentile955930
Maximum1928260
Range1902266
Interquartile range (IQR)286467

Descriptive statistics

Standard deviation348082.8521
Coefficient of variation (CV)1.217651766
Kurtosis10.38428334
Mean285864.0392
Median Absolute Deviation (MAD)107013
Skewness2.929770713
Sum14579066
Variance1.211616719e+11
MonotocityNot monotonic
2020-11-24T21:52:08.639200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25446312.0%
 
16080412.0%
 
3897712.0%
 
11973912.0%
 
22597812.0%
 
24752112.0%
 
5240512.0%
 
63841012.0%
 
3448012.0%
 
48567812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2599412.0%
 
3448012.0%
 
3685812.0%
 
3813612.0%
 
3897712.0%
 
ValueCountFrequency (%) 
192826012.0%
 
122515912.0%
 
118881712.0%
 
72304312.0%
 
63841012.0%
 

2010Q2_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289894.3529
Minimum26546
Maximum1950203
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:08.785731image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum26546
5-th percentile37764.5
Q176193
median173562
Q3371748.5
95-th percentile976310.5
Maximum1950203
Range1923657
Interquartile range (IQR)295555.5

Descriptive statistics

Standard deviation352451.0474
Coefficient of variation (CV)1.215791352
Kurtosis10.31963356
Mean289894.3529
Median Absolute Deviation (MAD)108561
Skewness2.92129668
Sum14784612
Variance1.242217408e+11
MonotocityNot monotonic
2020-11-24T21:52:08.927334image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
35929512.0%
 
28073112.0%
 
14123812.0%
 
24453112.0%
 
2654612.0%
 
41310312.0%
 
49489412.0%
 
59153312.0%
 
8477812.0%
 
64963712.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2654612.0%
 
3566312.0%
 
3745712.0%
 
3807212.0%
 
3870212.0%
 
ValueCountFrequency (%) 
195020312.0%
 
122767312.0%
 
121980612.0%
 
73281512.0%
 
64963712.0%
 

2010Q3_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean293183.2353
Minimum26918
Maximum1967595
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:09.069099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum26918
5-th percentile38641
Q177433
median177097
Q3377816
95-th percentile973797
Maximum1967595
Range1940677
Interquartile range (IQR)300383

Descriptive statistics

Standard deviation355079.7298
Coefficient of variation (CV)1.211118806
Kurtosis10.31755147
Mean293183.2353
Median Absolute Deviation (MAD)112977
Skewness2.915105179
Sum14952345
Variance1.260816145e+11
MonotocityNot monotonic
2020-11-24T21:52:09.195667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
42380412.0%
 
50383312.0%
 
25310312.0%
 
10474912.0%
 
13008812.0%
 
9322312.0%
 
2691812.0%
 
8592512.0%
 
5469112.0%
 
41424212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2691812.0%
 
3658212.0%
 
3841812.0%
 
3886412.0%
 
3930012.0%
 
ValueCountFrequency (%) 
196759512.0%
 
124774512.0%
 
120805612.0%
 
73953812.0%
 
66018712.0%
 

2010Q4_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean296530.6863
Minimum27074
Maximum2017485
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:09.580629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum27074
5-th percentile39154.5
Q178874.5
median177933
Q3377292
95-th percentile973534.5
Maximum2017485
Range1990411
Interquartile range (IQR)298417.5

Descriptive statistics

Standard deviation361134.2514
Coefficient of variation (CV)1.217864687
Kurtosis10.71552744
Mean296530.6863
Median Absolute Deviation (MAD)113656
Skewness2.963233787
Sum15123065
Variance1.304179475e+11
MonotocityNot monotonic
2020-11-24T21:52:09.700283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
12084612.0%
 
74499412.0%
 
10540812.0%
 
39123112.0%
 
25951812.0%
 
61081212.0%
 
8876012.0%
 
127301412.0%
 
42026312.0%
 
25848312.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2707412.0%
 
3808512.0%
 
3887512.0%
 
3943412.0%
 
3952312.0%
 
ValueCountFrequency (%) 
201748512.0%
 
127301412.0%
 
120207512.0%
 
74499412.0%
 
66567012.0%
 

2011Q1_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean296641.2941
Minimum27006
Maximum2014516
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:09.830481image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum27006
5-th percentile40407
Q178192
median176898
Q3379545.5
95-th percentile978379
Maximum2014516
Range1987510
Interquartile range (IQR)301353.5

Descriptive statistics

Standard deviation363044.531
Coefficient of variation (CV)1.223850281
Kurtosis10.59162657
Mean296641.2941
Median Absolute Deviation (MAD)113172
Skewness2.966495544
Sum15128706
Variance1.318013315e+11
MonotocityNot monotonic
2020-11-24T21:52:09.948132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2700612.0%
 
5534112.0%
 
201451612.0%
 
12216212.0%
 
122507412.0%
 
20049312.0%
 
9501712.0%
 
6967012.0%
 
41729112.0%
 
4048312.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2700612.0%
 
3982812.0%
 
4033112.0%
 
4048312.0%
 
4146312.0%
 
ValueCountFrequency (%) 
201451612.0%
 
130552512.0%
 
122507412.0%
 
73168412.0%
 
66518712.0%
 

2011Q2_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean300961.8824
Minimum27530
Maximum2032685
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:10.074090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum27530
5-th percentile41414
Q180189
median179679
Q3380454.5
95-th percentile982946.5
Maximum2032685
Range2005155
Interquartile range (IQR)300265.5

Descriptive statistics

Standard deviation367142.2329
Coefficient of variation (CV)1.219896121
Kurtosis10.47612302
Mean300961.8824
Median Absolute Deviation (MAD)115044
Skewness2.95139716
Sum15349056
Variance1.347934192e+11
MonotocityNot monotonic
2020-11-24T21:52:10.195742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6463512.0%
 
42180212.0%
 
9632112.0%
 
36707012.0%
 
26041412.0%
 
5010912.0%
 
74258212.0%
 
5650012.0%
 
13624112.0%
 
4100612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2753012.0%
 
4073712.0%
 
4100612.0%
 
4182212.0%
 
4213812.0%
 
ValueCountFrequency (%) 
203268512.0%
 
133808112.0%
 
122331112.0%
 
74258212.0%
 
67795612.0%
 

2011Q3_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean303413.1961
Minimum27725
Maximum2043257
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:10.322049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum27725
5-th percentile41792.5
Q180792
median181916
Q3384637
95-th percentile984560.5
Maximum2043257
Range2015532
Interquartile range (IQR)303845

Descriptive statistics

Standard deviation369490.4566
Coefficient of variation (CV)1.217779785
Kurtosis10.41472064
Mean303413.1961
Median Absolute Deviation (MAD)117588
Skewness2.942606568
Sum15474073
Variance1.365231975e+11
MonotocityNot monotonic
2020-11-24T21:52:10.439838image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
53457012.0%
 
6979012.0%
 
5000012.0%
 
49618512.0%
 
17080612.0%
 
4152312.0%
 
28446612.0%
 
41851812.0%
 
43203012.0%
 
12471112.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2772512.0%
 
4119512.0%
 
4152312.0%
 
4206212.0%
 
4244612.0%
 
ValueCountFrequency (%) 
204325712.0%
 
135340512.0%
 
122630712.0%
 
74281412.0%
 
68376812.0%
 

2011Q4_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307297.4706
Minimum28443
Maximum2054729
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:10.568480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28443
5-th percentile42864
Q181867.5
median184166
Q3394534.5
95-th percentile996509
Maximum2054729
Range2026286
Interquartile range (IQR)312667

Descriptive statistics

Standard deviation373431.2893
Coefficient of variation (CV)1.215211074
Kurtosis10.23203875
Mean307297.4706
Median Absolute Deviation (MAD)115999
Skewness2.924486196
Sum15672171
Variance1.394509278e+11
MonotocityNot monotonic
2020-11-24T21:52:10.688157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
26892412.0%
 
138192012.0%
 
15339812.0%
 
43025912.0%
 
54533012.0%
 
12599912.0%
 
5227012.0%
 
7095712.0%
 
28483912.0%
 
26717412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2844312.0%
 
4200612.0%
 
4206212.0%
 
4366612.0%
 
4564712.0%
 
ValueCountFrequency (%) 
205472912.0%
 
138192012.0%
 
124427912.0%
 
74873912.0%
 
69219312.0%
 

2012Q1_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean310980.3529
Minimum28023
Maximum2091635
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:10.820329image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28023
5-th percentile42882.5
Q181013
median185386
Q3398293
95-th percentile1010974.5
Maximum2091635
Range2063612
Interquartile range (IQR)317280

Descriptive statistics

Standard deviation380403.1872
Coefficient of variation (CV)1.22323865
Kurtosis10.29309512
Mean310980.3529
Median Absolute Deviation (MAD)119440
Skewness2.938151641
Sum15859998
Variance1.447065848e+11
MonotocityNot monotonic
2020-11-24T21:52:10.931921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4339112.0%
 
41168912.0%
 
29305612.0%
 
26425512.0%
 
50847712.0%
 
43730612.0%
 
10898212.0%
 
4107812.0%
 
27294612.0%
 
26987212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2802312.0%
 
4107812.0%
 
4237412.0%
 
4339112.0%
 
4902912.0%
 
ValueCountFrequency (%) 
209163512.0%
 
141527012.0%
 
126381312.0%
 
75813612.0%
 
70912412.0%
 

2012Q2_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean313882.6667
Minimum28535
Maximum2115962
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:11.052346image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28535
5-th percentile42801
Q181963
median187043
Q3402589
95-th percentile1026110
Maximum2115962
Range2087427
Interquartile range (IQR)320626

Descriptive statistics

Standard deviation384726.3073
Coefficient of variation (CV)1.225701028
Kurtosis10.3217376
Mean313882.6667
Median Absolute Deviation (MAD)120363
Skewness2.943899274
Sum16008016
Variance1.480143316e+11
MonotocityNot monotonic
2020-11-24T21:52:11.164370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
211596212.0%
 
18704312.0%
 
30155712.0%
 
4357312.0%
 
75947512.0%
 
11025712.0%
 
5316812.0%
 
4202912.0%
 
5791812.0%
 
10974112.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2853512.0%
 
4078112.0%
 
4202912.0%
 
4357312.0%
 
5114812.0%
 
ValueCountFrequency (%) 
211596212.0%
 
142130312.0%
 
129274512.0%
 
75947512.0%
 
71345812.0%
 

2012Q3_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean315959.6667
Minimum28323
Maximum2136531
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:11.278698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28323
5-th percentile41792.5
Q181633
median185204
Q3406261
95-th percentile1041077.5
Maximum2136531
Range2108208
Interquartile range (IQR)324628

Descriptive statistics

Standard deviation389403.207
Coefficient of variation (CV)1.232445936
Kurtosis10.2715369
Mean315959.6667
Median Absolute Deviation (MAD)117858
Skewness2.940716838
Sum16113943
Variance1.516348576e+11
MonotocityNot monotonic
2020-11-24T21:52:11.388657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
17778912.0%
 
44099312.0%
 
131129412.0%
 
44383012.0%
 
10156412.0%
 
27973412.0%
 
27333312.0%
 
33496712.0%
 
77086112.0%
 
19649012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2832312.0%
 
3964112.0%
 
4107912.0%
 
4250612.0%
 
5133912.0%
 
ValueCountFrequency (%) 
213653112.0%
 
143937412.0%
 
131129412.0%
 
77086112.0%
 
71487312.0%
 

2012Q4_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean317314.0392
Minimum27899
Maximum2180669
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:11.505060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum27899
5-th percentile43334
Q180748
median185881
Q3404104
95-th percentile1052190
Maximum2180669
Range2152770
Interquartile range (IQR)323356

Descriptive statistics

Standard deviation396592.1064
Coefficient of variation (CV)1.249841032
Kurtosis10.57163196
Mean317314.0392
Median Absolute Deviation (MAD)118063
Skewness2.993384298
Sum16183016
Variance1.572852988e+11
MonotocityNot monotonic
2020-11-24T21:52:11.636922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5974812.0%
 
19196612.0%
 
70802512.0%
 
18012512.0%
 
55173512.0%
 
44216512.0%
 
10040312.0%
 
6033812.0%
 
5514012.0%
 
12433512.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2789912.0%
 
3930512.0%
 
4248712.0%
 
4418112.0%
 
5066712.0%
 
ValueCountFrequency (%) 
218066912.0%
 
147562712.0%
 
133631012.0%
 
76807012.0%
 
70802512.0%
 

2013Q1_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean320799.7255
Minimum28487
Maximum2170092
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:11.779047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28487
5-th percentile44026
Q182360.5
median189267
Q3413527
95-th percentile1045063.5
Maximum2170092
Range2141605
Interquartile range (IQR)331166.5

Descriptive statistics

Standard deviation395934.4999
Coefficient of variation (CV)1.234210844
Kurtosis10.32572145
Mean320799.7255
Median Absolute Deviation (MAD)122131
Skewness2.953370866
Sum16360786
Variance1.567641282e+11
MonotocityNot monotonic
2020-11-24T21:52:11.916096image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6064012.0%
 
6812612.0%
 
44589612.0%
 
6022212.0%
 
65119612.0%
 
149663512.0%
 
5432812.0%
 
27704712.0%
 
11089812.0%
 
5206912.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2848712.0%
 
4111412.0%
 
4315612.0%
 
4489612.0%
 
5206912.0%
 
ValueCountFrequency (%) 
217009212.0%
 
149663512.0%
 
130764212.0%
 
78248512.0%
 
71905212.0%
 

2013Q2_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean322091.2941
Minimum28522
Maximum2191727
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:12.056699image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28522
5-th percentile43747.5
Q182516
median188806
Q3413453
95-th percentile1054960.5
Maximum2191727
Range2163205
Interquartile range (IQR)330937

Descriptive statistics

Standard deviation400368.6175
Coefficient of variation (CV)1.243028374
Kurtosis10.37758083
Mean322091.2941
Median Absolute Deviation (MAD)120665
Skewness2.967521352
Sum16426656
Variance1.602950299e+11
MonotocityNot monotonic
2020-11-24T21:52:12.197083image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
17868712.0%
 
27756612.0%
 
9081112.0%
 
44882712.0%
 
42663912.0%
 
10629312.0%
 
33669212.0%
 
28497912.0%
 
11128212.0%
 
44936612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2852212.0%
 
4080912.0%
 
4296212.0%
 
4453312.0%
 
5179812.0%
 
ValueCountFrequency (%) 
219172712.0%
 
151871112.0%
 
132565112.0%
 
78427012.0%
 
71650412.0%
 

2013Q3_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean326172.451
Minimum28492
Maximum2231635
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:12.343314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28492
5-th percentile43978
Q183029
median190907
Q3418910
95-th percentile1068760
Maximum2231635
Range2203143
Interquartile range (IQR)335881

Descriptive statistics

Standard deviation407070.814
Coefficient of variation (CV)1.248023286
Kurtosis10.49851689
Mean326172.451
Median Absolute Deviation (MAD)122328
Skewness2.985948226
Sum16634795
Variance1.657066476e+11
MonotocityNot monotonic
2020-11-24T21:52:12.479827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
31143612.0%
 
4120612.0%
 
4332912.0%
 
10397812.0%
 
10681312.0%
 
79557912.0%
 
18591212.0%
 
6021512.0%
 
14303012.0%
 
19090712.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2849212.0%
 
4120612.0%
 
4332912.0%
 
4462712.0%
 
5247212.0%
 
ValueCountFrequency (%) 
223163512.0%
 
154919312.0%
 
134194112.0%
 
79557912.0%
 
72020012.0%
 

2013Q4_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean331078.3529
Minimum28896
Maximum2302379
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:12.618125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28896
5-th percentile44044
Q183868.5
median191402
Q3424265
95-th percentile1087253.5
Maximum2302379
Range2273483
Interquartile range (IQR)340396.5

Descriptive statistics

Standard deviation416777.8755
Coefficient of variation (CV)1.258849671
Kurtosis10.83932074
Mean331078.3529
Median Absolute Deviation (MAD)122426
Skewness3.026452807
Sum16884996
Variance1.737037975e+11
MonotocityNot monotonic
2020-11-24T21:52:12.780346image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
10609712.0%
 
156688212.0%
 
73518812.0%
 
5892612.0%
 
41054112.0%
 
230237912.0%
 
20087412.0%
 
10274812.0%
 
81002212.0%
 
67075712.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2889612.0%
 
4078612.0%
 
4347312.0%
 
4461512.0%
 
5275612.0%
 
ValueCountFrequency (%) 
230237912.0%
 
156688212.0%
 
136448512.0%
 
81002212.0%
 
73518812.0%
 

2014Q1_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean331569
Minimum28584
Maximum2295017
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:12.926028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28584
5-th percentile44684.5
Q183920
median191114
Q3426399.5
95-th percentile1088261.5
Maximum2295017
Range2266433
Interquartile range (IQR)342479.5

Descriptive statistics

Standard deviation417061.9102
Coefficient of variation (CV)1.257843496
Kurtosis10.72613899
Mean331569
Median Absolute Deviation (MAD)127441
Skewness3.017221948
Sum16910019
Variance1.739406369e+11
MonotocityNot monotonic
2020-11-24T21:52:13.065146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9254312.0%
 
24168712.0%
 
6943012.0%
 
41489512.0%
 
31855512.0%
 
16554712.0%
 
2858412.0%
 
29661512.0%
 
46131412.0%
 
7529712.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2858412.0%
 
4107712.0%
 
4383412.0%
 
4553512.0%
 
5313512.0%
 
ValueCountFrequency (%) 
229501712.0%
 
158661912.0%
 
136266612.0%
 
81385712.0%
 
72930212.0%
 

2014Q2_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean336670.9216
Minimum28959
Maximum2332968
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:13.209179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28959
5-th percentile45368.5
Q185157
median194498
Q3433029
95-th percentile1100031
Maximum2332968
Range2304009
Interquartile range (IQR)347872

Descriptive statistics

Standard deviation423932.2056
Coefficient of variation (CV)1.259188657
Kurtosis10.77282563
Mean336670.9216
Median Absolute Deviation (MAD)127673
Skewness3.025446689
Sum17170217
Variance1.797185149e+11
MonotocityNot monotonic
2020-11-24T21:52:13.353344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
74265512.0%
 
11750312.0%
 
10386612.0%
 
7122512.0%
 
137223012.0%
 
44907912.0%
 
24325512.0%
 
82783212.0%
 
46980512.0%
 
46865212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2895912.0%
 
4209212.0%
 
4456612.0%
 
4617112.0%
 
5346812.0%
 
ValueCountFrequency (%) 
233296812.0%
 
162517412.0%
 
137223012.0%
 
82783212.0%
 
74265512.0%
 

2014Q3_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean342230.098
Minimum29516
Maximum2380773
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:13.494996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum29516
5-th percentile45064
Q186535.5
median198052
Q3440098.5
95-th percentile1115041
Maximum2380773
Range2351257
Interquartile range (IQR)353563

Descriptive statistics

Standard deviation431890.7757
Coefficient of variation (CV)1.261989457
Kurtosis10.85915528
Mean342230.098
Median Absolute Deviation (MAD)129815
Skewness3.035081931
Sum17453735
Variance1.865296421e+11
MonotocityNot monotonic
2020-11-24T21:52:13.642755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
60031912.0%
 
18768712.0%
 
11141512.0%
 
11845412.0%
 
6046812.0%
 
4472312.0%
 
7723412.0%
 
30852912.0%
 
14967912.0%
 
165585012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2951612.0%
 
4258012.0%
 
4472312.0%
 
4540512.0%
 
5416412.0%
 
ValueCountFrequency (%) 
238077312.0%
 
165585012.0%
 
138997712.0%
 
84010512.0%
 
75199612.0%
 

2014Q4_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344631.6863
Minimum29975
Maximum2394469
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:14.122422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum29975
5-th percentile44956
Q187024.5
median197070
Q3443983.5
95-th percentile1129271
Maximum2394469
Range2364494
Interquartile range (IQR)356959

Descriptive statistics

Standard deviation433884.1064
Coefficient of variation (CV)1.258979147
Kurtosis10.81632847
Mean344631.6863
Median Absolute Deviation (MAD)130392
Skewness3.023881365
Sum17576216
Variance1.882554178e+11
MonotocityNot monotonic
2020-11-24T21:52:14.273503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4467112.0%
 
19434112.0%
 
31255412.0%
 
6667812.0%
 
32222712.0%
 
2997512.0%
 
5482412.0%
 
14306212.0%
 
48200012.0%
 
45533712.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2997512.0%
 
4233412.0%
 
4467112.0%
 
4524112.0%
 
5482412.0%
 
ValueCountFrequency (%) 
239446912.0%
 
164381612.0%
 
140685912.0%
 
85168312.0%
 
75928512.0%
 

2015Q1_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean346419.2549
Minimum29701
Maximum2438787
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:14.415816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum29701
5-th percentile45494
Q186137
median197479
Q3448470.5
95-th percentile1140369.5
Maximum2438787
Range2409086
Interquartile range (IQR)362333.5

Descriptive statistics

Standard deviation438851.4555
Coefficient of variation (CV)1.266821775
Kurtosis11.08088371
Mean346419.2549
Median Absolute Deviation (MAD)129553
Skewness3.049163502
Sum17667382
Variance1.925906e+11
MonotocityNot monotonic
2020-11-24T21:52:14.564872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
13670212.0%
 
48617712.0%
 
9311512.0%
 
7335912.0%
 
19042212.0%
 
24939712.0%
 
29674512.0%
 
45994312.0%
 
21331512.0%
 
28906012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2970112.0%
 
4016512.0%
 
4475012.0%
 
4623812.0%
 
5336412.0%
 
ValueCountFrequency (%) 
243878712.0%
 
163607712.0%
 
141218412.0%
 
86855512.0%
 
76764312.0%
 

2015Q2_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean350616.4706
Minimum29813
Maximum2475826
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:14.702198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum29813
5-th percentile46334
Q187046
median199163
Q3454951.5
95-th percentile1155594
Maximum2475826
Range2446013
Interquartile range (IQR)367905.5

Descriptive statistics

Standard deviation443987.9838
Coefficient of variation (CV)1.266306694
Kurtosis11.19047162
Mean350616.4706
Median Absolute Deviation (MAD)130412
Skewness3.058143232
Sum17881440
Variance1.971253298e+11
MonotocityNot monotonic
2020-11-24T21:52:14.838427image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
30028612.0%
 
28969412.0%
 
46556112.0%
 
5624312.0%
 
247582612.0%
 
49474712.0%
 
77057212.0%
 
5715212.0%
 
4579512.0%
 
31414912.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2981312.0%
 
4070412.0%
 
4579512.0%
 
4687312.0%
 
5391512.0%
 
ValueCountFrequency (%) 
247582612.0%
 
163888412.0%
 
143190212.0%
 
87928612.0%
 
77057212.0%
 

2015Q3_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean353424.8235
Minimum30360
Maximum2492851
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:14.976706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum30360
5-th percentile46702
Q187344
median202722
Q3459346
95-th percentile1172383.5
Maximum2492851
Range2462491
Interquartile range (IQR)372002

Descriptive statistics

Standard deviation446794.2265
Coefficient of variation (CV)1.264184621
Kurtosis11.15098911
Mean353424.8235
Median Absolute Deviation (MAD)133679
Skewness3.049029975
Sum18024666
Variance1.996250809e+11
MonotocityNot monotonic
2020-11-24T21:52:15.116585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
31846212.0%
 
33782112.0%
 
44856212.0%
 
11499312.0%
 
7505612.0%
 
25366612.0%
 
36616212.0%
 
22007412.0%
 
24016612.0%
 
48481212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
3036012.0%
 
4009412.0%
 
4554212.0%
 
4786212.0%
 
5249312.0%
 
ValueCountFrequency (%) 
249285112.0%
 
163157012.0%
 
145037912.0%
 
89438812.0%
 
78419912.0%
 

2015Q4_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean355002.3333
Minimum30279
Maximum2517930
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:15.248290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum30279
5-th percentile46433
Q186903
median205686
Q3464726
95-th percentile1174888.5
Maximum2517930
Range2487651
Interquartile range (IQR)377823

Descriptive statistics

Standard deviation448469.9864
Coefficient of variation (CV)1.263287433
Kurtosis11.34353241
Mean355002.3333
Median Absolute Deviation (MAD)135713
Skewness3.06006823
Sum18105119
Variance2.011253287e+11
MonotocityNot monotonic
2020-11-24T21:52:15.390943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
33202912.0%
 
7349812.0%
 
29777912.0%
 
71749012.0%
 
10718112.0%
 
161379912.0%
 
143965912.0%
 
251793012.0%
 
5431112.0%
 
91011812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
3027912.0%
 
3849312.0%
 
4486212.0%
 
4800412.0%
 
5121612.0%
 
ValueCountFrequency (%) 
251793012.0%
 
161379912.0%
 
143965912.0%
 
91011812.0%
 
78511212.0%
 

2016Q1_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean356145.9608
Minimum30734
Maximum2536893
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:15.525344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum30734
5-th percentile46068.5
Q186938.5
median207142
Q3471770
95-th percentile1189615
Maximum2536893
Range2506159
Interquartile range (IQR)384831.5

Descriptive statistics

Standard deviation451421.9493
Coefficient of variation (CV)1.267519498
Kurtosis11.39564469
Mean356145.9608
Median Absolute Deviation (MAD)135728
Skewness3.066223935
Sum18163444
Variance2.037817763e+11
MonotocityNot monotonic
2020-11-24T21:52:15.666393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
32447512.0%
 
46569412.0%
 
4676712.0%
 
11371112.0%
 
5674612.0%
 
8285612.0%
 
20714212.0%
 
29610112.0%
 
6646712.0%
 
79171412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
3073412.0%
 
3656712.0%
 
4537012.0%
 
4676712.0%
 
5000812.0%
 
ValueCountFrequency (%) 
253689312.0%
 
160501112.0%
 
146594112.0%
 
91328912.0%
 
79171412.0%
 

2016Q2_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean359435.7255
Minimum30990
Maximum2562217
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:15.799888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum30990
5-th percentile46368
Q187772
median208818
Q3476319
95-th percentile1198677
Maximum2562217
Range2531227
Interquartile range (IQR)388547

Descriptive statistics

Standard deviation455839.9954
Coefficient of variation (CV)1.268210039
Kurtosis11.41820905
Mean359435.7255
Median Absolute Deviation (MAD)136167
Skewness3.069831141
Sum18331222
Variance2.077901014e+11
MonotocityNot monotonic
2020-11-24T21:52:15.942669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
71538912.0%
 
3712512.0%
 
34422512.0%
 
49158012.0%
 
5906612.0%
 
46994512.0%
 
5708512.0%
 
20881812.0%
 
49868512.0%
 
5065412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
3099012.0%
 
3712512.0%
 
4590612.0%
 
4683012.0%
 
5065412.0%
 
ValueCountFrequency (%) 
256221712.0%
 
162598412.0%
 
147477712.0%
 
92257712.0%
 
79763712.0%
 

2016Q3_gdp
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean363830.6471
Minimum31370
Maximum2589628
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:16.069124image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum31370
5-th percentile47011.5
Q188466
median211298
Q3481798
95-th percentile1213961
Maximum2589628
Range2558258
Interquartile range (IQR)393332

Descriptive statistics

Standard deviation461523.555
Coefficient of variation (CV)1.268512036
Kurtosis11.35629213
Mean363830.6471
Median Absolute Deviation (MAD)137825
Skewness3.064710046
Sum18555363
Variance2.130039918e+11
MonotocityNot monotonic
2020-11-24T21:52:16.208135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15679112.0%
 
30300712.0%
 
258962812.0%
 
5150712.0%
 
11614612.0%
 
26104112.0%
 
165406412.0%
 
93380612.0%
 
72375312.0%
 
23926712.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
3137012.0%
 
3764112.0%
 
4630112.0%
 
4772212.0%
 
5150712.0%
 
ValueCountFrequency (%) 
258962812.0%
 
165406412.0%
 
149411612.0%
 
93380612.0%
 
80587612.0%
 

1950Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4427434.451
Minimum326892
Maximum26970084
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:16.340034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum326892
5-th percentile462320
Q1978864.5
median2777300
Q34240612
95-th percentile15711738
Maximum26970084
Range26643192
Interquartile range (IQR)3261747.5

Descriptive statistics

Standard deviation5411986.971
Coefficient of variation (CV)1.222375403
Kurtosis6.325158151
Mean4427434.451
Median Absolute Deviation (MAD)1760040
Skewness2.408800175
Sum225799157
Variance2.928960298e+13
MonotocityNot monotonic
2020-11-24T21:52:16.474573image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
422618812.0%
 
85384412.0%
 
199128112.0%
 
847082812.0%
 
94046912.0%
 
83115612.0%
 
158520012.0%
 
1100586812.0%
 
367963612.0%
 
189530012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
32689212.0%
 
34254112.0%
 
42951612.0%
 
49512412.0%
 
63816512.0%
 
ValueCountFrequency (%) 
2697008412.0%
 
2009001812.0%
 
1596900012.0%
 
1545447612.0%
 
1238926012.0%
 

1950Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4451167.314
Minimum325276
Maximum27234984
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:16.605371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum325276
5-th percentile466496
Q1989338.5
median2760128
Q34290510
95-th percentile15869786
Maximum27234984
Range26909708
Interquartile range (IQR)3301171.5

Descriptive statistics

Standard deviation5453320.13
Coefficient of variation (CV)1.225143821
Kurtosis6.398428186
Mean4451167.314
Median Absolute Deviation (MAD)1739056
Skewness2.420368959
Sum227009533
Variance2.973870044e+13
MonotocityNot monotonic
2020-11-24T21:52:16.740080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
79128812.0%
 
32527612.0%
 
1070175212.0%
 
70771612.0%
 
375723212.0%
 
253662112.0%
 
50052412.0%
 
420628812.0%
 
2723498412.0%
 
95760512.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
32527612.0%
 
37438112.0%
 
43246812.0%
 
50052412.0%
 
65124912.0%
 
ValueCountFrequency (%) 
2723498412.0%
 
2019608612.0%
 
1598740412.0%
 
1575216812.0%
 
1256781212.0%
 

1950Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4613469.588
Minimum336856
Maximum28222680
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:16.869629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum336856
5-th percentile487216
Q11038726.5
median2831240
Q34531296
95-th percentile16437998
Maximum28222680
Range27885824
Interquartile range (IQR)3492569.5

Descriptive statistics

Standard deviation5646304.362
Coefficient of variation (CV)1.223873758
Kurtosis6.399028211
Mean4613469.588
Median Absolute Deviation (MAD)1768744
Skewness2.418787218
Sum235286949
Variance3.188075294e+13
MonotocityNot monotonic
2020-11-24T21:52:16.988553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
304850412.0%
 
429087212.0%
 
574878412.0%
 
218821312.0%
 
526098012.0%
 
344056112.0%
 
459998412.0%
 
1115716412.0%
 
126762412.0%
 
81200812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
33685612.0%
 
40968512.0%
 
44782812.0%
 
52660412.0%
 
68291312.0%
 
ValueCountFrequency (%) 
2822268012.0%
 
2085493412.0%
 
1649036412.0%
 
1638563212.0%
 
1307666412.0%
 

1950Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4783126.843
Minimum347832
Maximum29194128
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:17.118687image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum347832
5-th percentile502958
Q11098546.5
median2900748
Q34694124
95-th percentile17084274
Maximum29194128
Range28846296
Interquartile range (IQR)3595577.5

Descriptive statistics

Standard deviation5851264.208
Coefficient of variation (CV)1.223313619
Kurtosis6.338611214
Mean4783126.843
Median Absolute Deviation (MAD)1801280
Skewness2.411720976
Sum243939469
Variance3.423729283e+13
MonotocityNot monotonic
2020-11-24T21:52:17.245697image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
936481612.0%
 
76048012.0%
 
264824512.0%
 
111430012.0%
 
545176412.0%
 
303185212.0%
 
468622012.0%
 
132638012.0%
 
108279312.0%
 
114179212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
34783212.0%
 
44115712.0%
 
46594012.0%
 
53997612.0%
 
70678112.0%
 
ValueCountFrequency (%) 
2919412812.0%
 
2157349812.0%
 
1709029212.0%
 
1707825612.0%
 
1358718012.0%
 

1951Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4958183.863
Minimum365648
Maximum29210084
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:17.378387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum365648
5-th percentile514960
Q11125216.5
median3132112
Q34836484
95-th percentile17433682
Maximum29210084
Range28844436
Interquartile range (IQR)3711267.5

Descriptive statistics

Standard deviation6003455.284
Coefficient of variation (CV)1.210817398
Kurtosis5.815119992
Mean4958183.863
Median Absolute Deviation (MAD)1951916
Skewness2.342560473
Sum252867377
Variance3.604147535e+13
MonotocityNot monotonic
2020-11-24T21:52:17.506073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
494808812.0%
 
278927612.0%
 
180114812.0%
 
472488012.0%
 
181334812.0%
 
234308812.0%
 
48913212.0%
 
430954412.0%
 
118019612.0%
 
93710412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
36564812.0%
 
47412912.0%
 
48913212.0%
 
54078812.0%
 
69938112.0%
 
ValueCountFrequency (%) 
2921008412.0%
 
2299809912.0%
 
1743560812.0%
 
1743175612.0%
 
1442142012.0%
 

1951Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5127338.529
Minimum385548
Maximum30086716
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:17.643194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum385548
5-th percentile575026.5
Q11177840.5
median3065980
Q35080324
95-th percentile17993710
Maximum30086716
Range29701168
Interquartile range (IQR)3902483.5

Descriptive statistics

Standard deviation6198256.671
Coefficient of variation (CV)1.208864333
Kurtosis5.762677343
Mean5127338.529
Median Absolute Deviation (MAD)1939832
Skewness2.334848433
Sum261494265
Variance3.841838576e+13
MonotocityNot monotonic
2020-11-24T21:52:17.773743image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
284998812.0%
 
468650012.0%
 
1010969212.0%
 
515483612.0%
 
1796673612.0%
 
101444812.0%
 
38554812.0%
 
233822012.0%
 
385540012.0%
 
1489514012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
38554812.0%
 
50865212.0%
 
51733312.0%
 
63272012.0%
 
72022912.0%
 
ValueCountFrequency (%) 
3008671612.0%
 
2381557512.0%
 
1802068412.0%
 
1796673612.0%
 
1489514012.0%
 

1951Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5209284.961
Minimum388348
Maximum30502312
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:17.902356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum388348
5-th percentile556704.5
Q11194936.5
median3198944
Q35199306
95-th percentile18221048
Maximum30502312
Range30113964
Interquartile range (IQR)4004369.5

Descriptive statistics

Standard deviation6297669.187
Coefficient of variation (CV)1.208931597
Kurtosis5.755523926
Mean5209284.961
Median Absolute Deviation (MAD)2060839
Skewness2.335100198
Sum265673533
Variance3.966063719e+13
MonotocityNot monotonic
2020-11-24T21:52:18.019240image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
215410912.0%
 
334180812.0%
 
710588812.0%
 
113810512.0%
 
125176812.0%
 
297061612.0%
 
56954012.0%
 
141422012.0%
 
469048412.0%
 
82046812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
38834812.0%
 
51537212.0%
 
54386912.0%
 
56954012.0%
 
72463712.0%
 
ValueCountFrequency (%) 
3050231212.0%
 
2437898312.0%
 
1827112412.0%
 
1817097212.0%
 
1500804812.0%
 

1951Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5298111
Minimum397940
Maximum31009924
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:18.146724image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum397940
5-th percentile606100.5
Q11220246.5
median3270960
Q35351856
95-th percentile18510388
Maximum31009924
Range30611984
Interquartile range (IQR)4131609.5

Descriptive statistics

Standard deviation6396651.92
Coefficient of variation (CV)1.207345773
Kurtosis5.796695539
Mean5298111
Median Absolute Deviation (MAD)2103819
Skewness2.341835957
Sum270203661
Variance4.091715579e+13
MonotocityNot monotonic
2020-11-24T21:52:18.266799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1273244412.0%
 
267523212.0%
 
327096012.0%
 
541842412.0%
 
310025612.0%
 
440913212.0%
 
724611612.0%
 
528528812.0%
 
428536012.0%
 
116714112.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
39794012.0%
 
52231212.0%
 
59529612.0%
 
61690512.0%
 
73580112.0%
 
ValueCountFrequency (%) 
3100992412.0%
 
2483737512.0%
 
1851287612.0%
 
1850790012.0%
 
1525778412.0%
 

1952Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5339067.529
Minimum443661
Maximum30723108
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:18.397546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum443661
5-th percentile573269.5
Q11236484
median3390148
Q35324820
95-th percentile18399598
Maximum30723108
Range30279447
Interquartile range (IQR)4088336

Descriptive statistics

Standard deviation6453064.711
Coefficient of variation (CV)1.208650139
Kurtosis5.626524487
Mean5339067.529
Median Absolute Deviation (MAD)2120980
Skewness2.322950444
Sum272292444
Variance4.164204416e+13
MonotocityNot monotonic
2020-11-24T21:52:18.519675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1279295612.0%
 
1312492012.0%
 
609049212.0%
 
83218412.0%
 
93086412.0%
 
260792412.0%
 
1546001612.0%
 
89865612.0%
 
356855612.0%
 
99600912.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
44366112.0%
 
51015612.0%
 
56239112.0%
 
58414812.0%
 
74754012.0%
 
ValueCountFrequency (%) 
3072310812.0%
 
2591572512.0%
 
1842576412.0%
 
1837343212.0%
 
1546001612.0%
 

1952Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5419186.824
Minimum443861
Maximum31148516
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:18.649564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum443861
5-th percentile601507.5
Q11252042
median3453268
Q35372900
95-th percentile18613836
Maximum31148516
Range30704655
Interquartile range (IQR)4120858

Descriptive statistics

Standard deviation6536810.039
Coefficient of variation (CV)1.206234487
Kurtosis5.664044888
Mean5419186.824
Median Absolute Deviation (MAD)2168828
Skewness2.327863772
Sum276378528
Variance4.272988548e+13
MonotocityNot monotonic
2020-11-24T21:52:18.779867image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
189653212.0%
 
110134812.0%
 
476017612.0%
 
1322966812.0%
 
1292475212.0%
 
262555612.0%
 
363220412.0%
 
728517212.0%
 
491811612.0%
 
87338812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
44386112.0%
 
51450012.0%
 
55962012.0%
 
64339512.0%
 
76059612.0%
 
ValueCountFrequency (%) 
3114851612.0%
 
2634068912.0%
 
1863397612.0%
 
1859369612.0%
 
1566593612.0%
 

1952Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5557211.216
Minimum453753
Maximum31862924
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:18.916888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum453753
5-th percentile605239.5
Q11284082
median3541740
Q35425352
95-th percentile19057190
Maximum31862924
Range31409171
Interquartile range (IQR)4141270

Descriptive statistics

Standard deviation6682867.587
Coefficient of variation (CV)1.202557781
Kurtosis5.667778285
Mean5557211.216
Median Absolute Deviation (MAD)2180676
Skewness2.327658707
Sum283417772
Variance4.466071919e+13
MonotocityNot monotonic
2020-11-24T21:52:19.051085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
136106412.0%
 
1349297212.0%
 
328580412.0%
 
83794112.0%
 
201656412.0%
 
409314412.0%
 
114769712.0%
 
908894412.0%
 
1909243612.0%
 
572166812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
45375312.0%
 
52512412.0%
 
58252812.0%
 
62795112.0%
 
77798812.0%
 
ValueCountFrequency (%) 
3186292412.0%
 
2694604512.0%
 
1909243612.0%
 
1902194412.0%
 
1604908812.0%
 

1952Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5687632.471
Minimum459121
Maximum32970456
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:19.190335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum459121
5-th percentile608681.5
Q11316542
median3604712
Q35574408
95-th percentile19734260
Maximum32970456
Range32511335
Interquartile range (IQR)4257866

Descriptive statistics

Standard deviation6911295.515
Coefficient of variation (CV)1.215144535
Kurtosis5.628237905
Mean5687632.471
Median Absolute Deviation (MAD)2219448
Skewness2.322355571
Sum290069256
Variance4.776600569e+13
MonotocityNot monotonic
2020-11-24T21:52:19.746969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
527321212.0%
 
1148213612.0%
 
1359390412.0%
 
1672489212.0%
 
649063612.0%
 
153540012.0%
 
88314812.0%
 
323801612.0%
 
691532812.0%
 
943593612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
45912112.0%
 
53851612.0%
 
58598812.0%
 
63137512.0%
 
79464512.0%
 
ValueCountFrequency (%) 
3297045612.0%
 
2750348912.0%
 
1979179612.0%
 
1967672412.0%
 
1672489212.0%
 

1953Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5775373.412
Minimum492081
Maximum33176888
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:19.896374image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum492081
5-th percentile608960.5
Q11293878
median3611952
Q35615640
95-th percentile20039748
Maximum33176888
Range32684807
Interquartile range (IQR)4321762

Descriptive statistics

Standard deviation7052605.793
Coefficient of variation (CV)1.221151481
Kurtosis5.436450559
Mean5775373.412
Median Absolute Deviation (MAD)2245528
Skewness2.300528569
Sum294544044
Variance4.973924847e+13
MonotocityNot monotonic
2020-11-24T21:52:20.036712image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
387282412.0%
 
805412812.0%
 
1353608012.0%
 
518180412.0%
 
3317688812.0%
 
91102812.0%
 
49208112.0%
 
361195212.0%
 
2012599612.0%
 
641442012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
49208112.0%
 
54078012.0%
 
57675212.0%
 
64116912.0%
 
82160012.0%
 
ValueCountFrequency (%) 
3317688812.0%
 
2836355612.0%
 
2012599612.0%
 
1995350012.0%
 
1731554412.0%
 

1953Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5852288
Minimum497013
Maximum33837372
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:20.187623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum497013
5-th percentile618618.5
Q11292956
median3565124
Q35668472
95-th percentile20405386
Maximum33837372
Range33340359
Interquartile range (IQR)4375516

Descriptive statistics

Standard deviation7174526.602
Coefficient of variation (CV)1.225935327
Kurtosis5.441078646
Mean5852288
Median Absolute Deviation (MAD)2326600
Skewness2.30059242
Sum298466688
Variance5.147383196e+13
MonotocityNot monotonic
2020-11-24T21:52:20.337631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
395219612.0%
 
492610812.0%
 
3383737212.0%
 
106264312.0%
 
122540012.0%
 
84786412.0%
 
528903612.0%
 
192619612.0%
 
65784112.0%
 
2047774412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
49701312.0%
 
54995612.0%
 
57939612.0%
 
65784112.0%
 
83791212.0%
 
ValueCountFrequency (%) 
3383737212.0%
 
2861787612.0%
 
2047774412.0%
 
2033302812.0%
 
1761293212.0%
 

1953Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5851903.765
Minimum495977
Maximum33938300
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:20.490677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum495977
5-th percentile616644.5
Q11295082
median3489092
Q35663732
95-th percentile20444984
Maximum33938300
Range33442323
Interquartile range (IQR)4368650

Descriptive statistics

Standard deviation7193219.676
Coefficient of variation (CV)1.229210179
Kurtosis5.457674613
Mean5851903.765
Median Absolute Deviation (MAD)2261540
Skewness2.303376955
Sum298447092
Variance5.17424093e+13
MonotocityNot monotonic
2020-11-24T21:52:20.632221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
331884012.0%
 
191055612.0%
 
529541212.0%
 
965138412.0%
 
649624812.0%
 
136261212.0%
 
312876012.0%
 
157853612.0%
 
826180412.0%
 
2866832812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
49597712.0%
 
55106412.0%
 
57856812.0%
 
65472112.0%
 
81444012.0%
 
ValueCountFrequency (%) 
3393830012.0%
 
2866832812.0%
 
2050197612.0%
 
2038799212.0%
 
1764424012.0%
 

1953Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5852969.098
Minimum498021
Maximum33995836
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:20.776739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum498021
5-th percentile613808.5
Q11285640
median3527952
Q35680212
95-th percentile20403698
Maximum33995836
Range33497815
Interquartile range (IQR)4394572

Descriptive statistics

Standard deviation7194509.157
Coefficient of variation (CV)1.229206756
Kurtosis5.514714224
Mean5852969.098
Median Absolute Deviation (MAD)2300040
Skewness2.312463677
Sum298501424
Variance5.176096201e+13
MonotocityNot monotonic
2020-11-24T21:52:20.913860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
82659212.0%
 
587138812.0%
 
439860412.0%
 
313054012.0%
 
710725212.0%
 
54787212.0%
 
2875908012.0%
 
106256712.0%
 
114755712.0%
 
965029212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
49802112.0%
 
54787212.0%
 
57700412.0%
 
65061312.0%
 
82659212.0%
 
ValueCountFrequency (%) 
3399583612.0%
 
2875908012.0%
 
2045030412.0%
 
2035709212.0%
 
1755900412.0%
 

1954Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5855333.706
Minimum528577
Maximum34437492
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:21.058890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum528577
5-th percentile608209.5
Q11290500
median3549856
Q35774492
95-th percentile20018846
Maximum34437492
Range33908915
Interquartile range (IQR)4483992

Descriptive statistics

Standard deviation7209082.09
Coefficient of variation (CV)1.231199186
Kurtosis5.860027099
Mean5855333.706
Median Absolute Deviation (MAD)2336564
Skewness2.361266614
Sum298622019
Variance5.197086458e+13
MonotocityNot monotonic
2020-11-24T21:52:21.199831image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
492011612.0%
 
85456412.0%
 
239047212.0%
 
437970412.0%
 
85654012.0%
 
232119612.0%
 
543032412.0%
 
531742012.0%
 
55185612.0%
 
1398058812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
52857712.0%
 
55185612.0%
 
56292412.0%
 
65349512.0%
 
85456412.0%
 
ValueCountFrequency (%) 
3443749212.0%
 
2917221912.0%
 
2027138412.0%
 
1976630812.0%
 
1746663212.0%
 

1954Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5847811.196
Minimum531601
Maximum34520204
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:21.343107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum531601
5-th percentile592249.5
Q11291524
median3506624
Q35790620
95-th percentile20010402
Maximum34520204
Range33988603
Interquartile range (IQR)4499096

Descriptive statistics

Standard deviation7223779.7
Coefficient of variation (CV)1.235296328
Kurtosis5.892812229
Mean5847811.196
Median Absolute Deviation (MAD)2290624
Skewness2.36671193
Sum298238371
Variance5.218299315e+13
MonotocityNot monotonic
2020-11-24T21:52:21.478713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2024050812.0%
 
55170812.0%
 
308524812.0%
 
85086012.0%
 
767454812.0%
 
389911612.0%
 
476202412.0%
 
62403912.0%
 
232497212.0%
 
330077212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
53160112.0%
 
55170812.0%
 
56046012.0%
 
62403912.0%
 
83961612.0%
 
ValueCountFrequency (%) 
3452020412.0%
 
2924850312.0%
 
2024050812.0%
 
1978029612.0%
 
1746585612.0%
 

1954Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5886292.294
Minimum537009
Maximum34835696
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:21.616652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum537009
5-th percentile588943.5
Q11300918
median3518084
Q35847240
95-th percentile20130822
Maximum34835696
Range34298687
Interquartile range (IQR)4546322

Descriptive statistics

Standard deviation7274078.36
Coefficient of variation (CV)1.235765741
Kurtosis5.937310326
Mean5886292.294
Median Absolute Deviation (MAD)2295672
Skewness2.373033088
Sum300200907
Variance5.291221599e+13
MonotocityNot monotonic
2020-11-24T21:52:21.747789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1753301212.0%
 
332662012.0%
 
393448012.0%
 
53700912.0%
 
85636812.0%
 
771588412.0%
 
638735212.0%
 
308716812.0%
 
1988996012.0%
 
55978012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
53700912.0%
 
55400012.0%
 
55978012.0%
 
61810712.0%
 
85636812.0%
 
ValueCountFrequency (%) 
3483569612.0%
 
2942781512.0%
 
2037168412.0%
 
1988996012.0%
 
1753301212.0%
 

1954Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5993749.235
Minimum543717
Maximum35650684
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:21.893776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum543717
5-th percentile599605.5
Q11329740
median3557676
Q35932874
95-th percentile20542984
Maximum35650684
Range35106967
Interquartile range (IQR)4603134

Descriptive statistics

Standard deviation7438628.184
Coefficient of variation (CV)1.241064297
Kurtosis5.975290017
Mean5993749.235
Median Absolute Deviation (MAD)2315156
Skewness2.380110471
Sum305681211
Variance5.533318926e+13
MonotocityNot monotonic
2020-11-24T21:52:22.036266image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
267585212.0%
 
606671612.0%
 
241973212.0%
 
89131612.0%
 
1791723212.0%
 
355767612.0%
 
95709612.0%
 
197828812.0%
 
120157212.0%
 
380319612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
54371712.0%
 
56513212.0%
 
57059212.0%
 
62861912.0%
 
87941612.0%
 
ValueCountFrequency (%) 
3565068412.0%
 
3007408712.0%
 
2073239612.0%
 
2035357212.0%
 
1791723212.0%
 

1955Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6123917.373
Minimum559896
Maximum35847380
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:22.184635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum559896
5-th percentile614972.5
Q11380516
median3750660
Q36215312
95-th percentile20705654
Maximum35847380
Range35287484
Interquartile range (IQR)4834796

Descriptive statistics

Standard deviation7588157.772
Coefficient of variation (CV)1.23910192
Kurtosis5.848123079
Mean6123917.373
Median Absolute Deviation (MAD)2439264
Skewness2.364608582
Sum312319786
Variance5.758013837e+13
MonotocityNot monotonic
2020-11-24T21:52:22.332260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
444236412.0%
 
125046012.0%
 
569559212.0%
 
736440412.0%
 
208465212.0%
 
405688012.0%
 
393246012.0%
 
292586012.0%
 
60432812.0%
 
671983612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
55989612.0%
 
58940512.0%
 
60432812.0%
 
62561712.0%
 
89354412.0%
 
ValueCountFrequency (%) 
3584738012.0%
 
3137717112.0%
 
2097486012.0%
 
2043644812.0%
 
1837782812.0%
 

1955Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6265905.059
Minimum573420
Maximum36694984
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:22.488314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum573420
5-th percentile629494.5
Q11428918
median3769132
Q36352602
95-th percentile21215414
Maximum36694984
Range36121564
Interquartile range (IQR)4923684

Descriptive statistics

Standard deviation7767956.303
Coefficient of variation (CV)1.239718162
Kurtosis5.843031081
Mean6265905.059
Median Absolute Deviation (MAD)2487824
Skewness2.364546334
Sum319561158
Variance6.034114512e+13
MonotocityNot monotonic
2020-11-24T21:52:22.628810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
451074812.0%
 
246504412.0%
 
3209400312.0%
 
376913212.0%
 
1022558012.0%
 
101264812.0%
 
1882152412.0%
 
61724812.0%
 
220401612.0%
 
570686412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
57342012.0%
 
60763312.0%
 
61724812.0%
 
64174112.0%
 
91966012.0%
 
ValueCountFrequency (%) 
3669498412.0%
 
3209400312.0%
 
2152043612.0%
 
2091039212.0%
 
1882152412.0%
 

1955Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6396936.902
Minimum585852
Maximum37619308
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:22.775474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum585852
5-th percentile639246.5
Q11457776
median3753808
Q36489086
95-th percentile21692414
Maximum37619308
Range37033456
Interquartile range (IQR)5031310

Descriptive statistics

Standard deviation7952377.134
Coefficient of variation (CV)1.243153912
Kurtosis5.885891831
Mean6396936.902
Median Absolute Deviation (MAD)2464124
Skewness2.371360083
Sum326243782
Variance6.324030207e+13
MonotocityNot monotonic
2020-11-24T21:52:22.913034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
400907212.0%
 
169845612.0%
 
449886812.0%
 
100420812.0%
 
1293713212.0%
 
305181612.0%
 
585309212.0%
 
468904012.0%
 
212444812.0%
 
64843312.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
58585212.0%
 
61530512.0%
 
63006012.0%
 
64843312.0%
 
91414012.0%
 
ValueCountFrequency (%) 
3761930812.0%
 
3283777912.0%
 
2199346412.0%
 
2139136412.0%
 
1921107612.0%
 

1955Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6513119.412
Minimum595236
Maximum38432180
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:23.058969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum595236
5-th percentile646198.5
Q11482374
median3812540
Q36596568
95-th percentile22105268
Maximum38432180
Range37836944
Interquartile range (IQR)5114194

Descriptive statistics

Standard deviation8107282.253
Coefficient of variation (CV)1.244761802
Kurtosis5.885628729
Mean6513119.412
Median Absolute Deviation (MAD)2506480
Skewness2.370585997
Sum332169090
Variance6.572802553e+13
MonotocityNot monotonic
2020-11-24T21:52:23.198799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
215231612.0%
 
1560975212.0%
 
1960810412.0%
 
605994812.0%
 
381254012.0%
 
478199212.0%
 
787906012.0%
 
256617612.0%
 
59523612.0%
 
173302412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
59523612.0%
 
63134512.0%
 
63730012.0%
 
65509712.0%
 
92471612.0%
 
ValueCountFrequency (%) 
3843218012.0%
 
3331398312.0%
 
2235423612.0%
 
2185630012.0%
 
1960810412.0%
 

1956Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6622859.216
Minimum618268
Maximum38437932
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:23.342680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum618268
5-th percentile652713.5
Q11510452
median3831576
Q36963836
95-th percentile22655006
Maximum38437932
Range37819664
Interquartile range (IQR)5453384

Descriptive statistics

Standard deviation8229043.445
Coefficient of variation (CV)1.24252127
Kurtosis5.803092718
Mean6622859.216
Median Absolute Deviation (MAD)2478780
Skewness2.363419476
Sum337765820
Variance6.771715602e+13
MonotocityNot monotonic
2020-11-24T21:52:23.482790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
665827212.0%
 
585513612.0%
 
1586527212.0%
 
63213612.0%
 
1070030012.0%
 
3843793212.0%
 
789148812.0%
 
97424812.0%
 
625801212.0%
 
427651612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
61826812.0%
 
63213612.0%
 
64034812.0%
 
66507912.0%
 
93570412.0%
 
ValueCountFrequency (%) 
3843793212.0%
 
3450992412.0%
 
2304044412.0%
 
2226956812.0%
 
1976754812.0%
 

1956Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6735680.392
Minimum626460
Maximum39105300
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:23.626437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum626460
5-th percentile660649.5
Q11532490
median3929708
Q37099864
95-th percentile23057090
Maximum39105300
Range38478840
Interquartile range (IQR)5567374

Descriptive statistics

Standard deviation8381680.856
Coefficient of variation (CV)1.244370333
Kurtosis5.812812551
Mean6735680.392
Median Absolute Deviation (MAD)2557644
Skewness2.365224468
Sum343519700
Variance7.025257396e+13
MonotocityNot monotonic
2020-11-24T21:52:23.764128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
492574412.0%
 
678992412.0%
 
2266094412.0%
 
633030412.0%
 
1087820012.0%
 
802419612.0%
 
2345323612.0%
 
357400412.0%
 
128836812.0%
 
290908412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
62646012.0%
 
64204812.0%
 
64712812.0%
 
67417112.0%
 
96027612.0%
 
ValueCountFrequency (%) 
3910530012.0%
 
3522328012.0%
 
2345323612.0%
 
2266094412.0%
 
2010180412.0%
 

1956Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6838303.686
Minimum636560
Maximum39710044
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:23.911972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum636560
5-th percentile672839.5
Q11549808
median4022480
Q37214898
95-th percentile23425712
Maximum39710044
Range39073484
Interquartile range (IQR)5665090

Descriptive statistics

Standard deviation8509274.766
Coefficient of variation (CV)1.244354617
Kurtosis5.80684584
Mean6838303.686
Median Absolute Deviation (MAD)2633468
Skewness2.364393051
Sum348753488
Variance7.240775704e+13
MonotocityNot monotonic
2020-11-24T21:52:24.052255image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1397027612.0%
 
66048412.0%
 
243808012.0%
 
276848412.0%
 
812562812.0%
 
428063212.0%
 
2387448412.0%
 
113273212.0%
 
148512812.0%
 
2297694012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
63656012.0%
 
65253612.0%
 
66048412.0%
 
68519512.0%
 
97793612.0%
 
ValueCountFrequency (%) 
3971004412.0%
 
3572358012.0%
 
2387448412.0%
 
2297694012.0%
 
2039138412.0%
 

1956Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6987966.902
Minimum651056
Maximum40654200
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:24.200867image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum651056
5-th percentile682767.5
Q11579902
median4085428
Q37358888
95-th percentile23995392
Maximum40654200
Range40003144
Interquartile range (IQR)5778986

Descriptive statistics

Standard deviation8701980.299
Coefficient of variation (CV)1.245280698
Kurtosis5.796761924
Mean6987966.902
Median Absolute Deviation (MAD)2662224
Skewness2.363089313
Sum356386312
Variance7.572446112e+13
MonotocityNot monotonic
2020-11-24T21:52:24.348655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3640742012.0%
 
2089590012.0%
 
823937612.0%
 
142320412.0%
 
65105612.0%
 
2445370012.0%
 
506129212.0%
 
369130412.0%
 
67310412.0%
 
164240412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
65105612.0%
 
67023212.0%
 
67310412.0%
 
69243112.0%
 
101788012.0%
 
ValueCountFrequency (%) 
4065420012.0%
 
3640742012.0%
 
2445370012.0%
 
2353708412.0%
 
2089590012.0%
 

1957Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7072065.314
Minimum642748
Maximum41226576
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:24.498014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum642748
5-th percentile675581.5
Q11607874
median4076556
Q37434262
95-th percentile24124098
Maximum41226576
Range40583828
Interquartile range (IQR)5826388

Descriptive statistics

Standard deviation8837906.026
Coefficient of variation (CV)1.249692365
Kurtosis5.943294605
Mean7072065.314
Median Absolute Deviation (MAD)2659440
Skewness2.386049505
Sum360675331
Variance7.810858293e+13
MonotocityNot monotonic
2020-11-24T21:52:24.639727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
673599612.0%
 
115933612.0%
 
3747922712.0%
 
218250812.0%
 
221197212.0%
 
513054812.0%
 
291946412.0%
 
1722508812.0%
 
165214412.0%
 
156360412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
64274812.0%
 
66804912.0%
 
67015112.0%
 
68101212.0%
 
97431612.0%
 
ValueCountFrequency (%) 
4122657612.0%
 
3747922712.0%
 
2447328812.0%
 
2377490812.0%
 
2109449612.0%
 

1957Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7166519.902
Minimum654680
Maximum41782564
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:24.784210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum654680
5-th percentile696028.5
Q11629486
median4147776
Q37508736
95-th percentile24345916
Maximum41782564
Range41127884
Interquartile range (IQR)5879250

Descriptive statistics

Standard deviation8939535.371
Coefficient of variation (CV)1.247402574
Kurtosis5.987476395
Mean7166519.902
Median Absolute Deviation (MAD)2665340
Skewness2.392597009
Sum365492515
Variance7.991529265e+13
MonotocityNot monotonic
2020-11-24T21:52:24.911006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
518360012.0%
 
221418012.0%
 
387935612.0%
 
928502812.0%
 
642226412.0%
 
115525212.0%
 
1476217212.0%
 
596408012.0%
 
4178256412.0%
 
134401212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
65468012.0%
 
68505112.0%
 
69324412.0%
 
69881312.0%
 
103156012.0%
 
ValueCountFrequency (%) 
4178256412.0%
 
3796146712.0%
 
2466614012.0%
 
2402569212.0%
 
2130204412.0%
 

1957Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7255768.294
Minimum664944
Maximum42290588
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:25.050473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum664944
5-th percentile701478.5
Q11655054
median4236320
Q37584182
95-th percentile24582286
Maximum42290588
Range41625644
Interquartile range (IQR)5929128

Descriptive statistics

Standard deviation9042825.444
Coefficient of variation (CV)1.246294683
Kurtosis6.018029437
Mean7255768.294
Median Absolute Deviation (MAD)2652824
Skewness2.397041096
Sum370044183
Variance8.177269201e+13
MonotocityNot monotonic
2020-11-24T21:52:25.182303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
840712412.0%
 
308394412.0%
 
603423612.0%
 
2426357212.0%
 
1490937612.0%
 
688914412.0%
 
169285212.0%
 
119608012.0%
 
397048812.0%
 
643370812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
66494412.0%
 
68323512.0%
 
69999712.0%
 
70296012.0%
 
103356012.0%
 
ValueCountFrequency (%) 
4229058812.0%
 
3847725112.0%
 
2490100012.0%
 
2426357212.0%
 
2149272412.0%
 

1957Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7253804.608
Minimum649735
Maximum42375612
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:25.316276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum649735
5-th percentile712350.5
Q11656416
median4287424
Q37573318
95-th percentile24526740
Maximum42375612
Range41725877
Interquartile range (IQR)5916902

Descriptive statistics

Standard deviation9044312.69
Coefficient of variation (CV)1.246837099
Kurtosis6.077631303
Mean7253804.608
Median Absolute Deviation (MAD)2707136
Skewness2.406141649
Sum369944035
Variance8.179959204e+13
MonotocityNot monotonic
2020-11-24T21:52:25.448568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
725532012.0%
 
2142291612.0%
 
118874412.0%
 
640616412.0%
 
181372012.0%
 
428742412.0%
 
847735612.0%
 
296400812.0%
 
71606912.0%
 
518429212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
64973512.0%
 
66487612.0%
 
70863212.0%
 
71606912.0%
 
103414012.0%
 
ValueCountFrequency (%) 
4237561212.0%
 
3853940712.0%
 
2483865612.0%
 
2421482412.0%
 
2142291612.0%
 

1958Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7269538.608
Minimum655168
Maximum42777884
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:25.582540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum655168
5-th percentile698505
Q11692546
median4564460
Q37620580
95-th percentile24317114
Maximum42777884
Range42122716
Interquartile range (IQR)5928034

Descriptive statistics

Standard deviation9064208.89
Coefficient of variation (CV)1.246875404
Kurtosis6.381398263
Mean7269538.608
Median Absolute Deviation (MAD)2905496
Skewness2.449789821
Sum370746469
Variance8.21598828e+13
MonotocityNot monotonic
2020-11-24T21:52:25.713527image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
165896412.0%
 
161424812.0%
 
118418812.0%
 
1785989212.0%
 
1435485212.0%
 
530322412.0%
 
362982012.0%
 
310866012.0%
 
172612812.0%
 
665182012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
65516812.0%
 
66361312.0%
 
69120612.0%
 
70580412.0%
 
117323612.0%
 
ValueCountFrequency (%) 
4277788412.0%
 
3905204212.0%
 
2468152412.0%
 
2395270412.0%
 
2103231212.0%
 

1958Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7309316.569
Minimum657125
Maximum43234472
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:25.847781image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum657125
5-th percentile711645
Q11726518
median4490052
Q37630782
95-th percentile24358084
Maximum43234472
Range42577347
Interquartile range (IQR)5904264

Descriptive statistics

Standard deviation9117972.303
Coefficient of variation (CV)1.247445259
Kurtosis6.58509279
Mean7309316.569
Median Absolute Deviation (MAD)2858068
Skewness2.479990528
Sum372775145
Variance8.313741892e+13
MonotocityNot monotonic
2020-11-24T21:52:25.977569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
287852012.0%
 
233821212.0%
 
365542012.0%
 
245407212.0%
 
668372412.0%
 
1173278012.0%
 
118161612.0%
 
173762812.0%
 
735569212.0%
 
536852812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
65712512.0%
 
66715612.0%
 
70055412.0%
 
72273612.0%
 
117822812.0%
 
ValueCountFrequency (%) 
4323447212.0%
 
3953881012.0%
 
2479948412.0%
 
2391668412.0%
 
2081274012.0%
 

1958Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7424159.941
Minimum671664
Maximum43900432
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:26.108587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum671664
5-th percentile729541
Q11748784
median4639228
Q37728658
95-th percentile24651774
Maximum43900432
Range43228768
Interquartile range (IQR)5979874

Descriptive statistics

Standard deviation9284594.411
Coefficient of variation (CV)1.250591917
Kurtosis6.603821685
Mean7424159.941
Median Absolute Deviation (MAD)2898700
Skewness2.483409409
Sum378632157
Variance8.620369337e+13
MonotocityNot monotonic
2020-11-24T21:52:26.237095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
802716412.0%
 
372551212.0%
 
318496012.0%
 
175704012.0%
 
119742012.0%
 
246008812.0%
 
121146812.0%
 
67166412.0%
 
931474412.0%
 
75114412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
67166412.0%
 
67820112.0%
 
70793812.0%
 
75114412.0%
 
116090812.0%
 
ValueCountFrequency (%) 
4390043212.0%
 
4046689412.0%
 
2503318412.0%
 
2427036412.0%
 
2116888412.0%
 

1958Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7541320.647
Minimum684224
Maximum44503372
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:26.367881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum684224
5-th percentile745057
Q11778606
median4688856
Q37897490
95-th percentile24987994
Maximum44503372
Range43819148
Interquartile range (IQR)6118884

Descriptive statistics

Standard deviation9428820.2
Coefficient of variation (CV)1.250287667
Kurtosis6.659499792
Mean7541320.647
Median Absolute Deviation (MAD)2946996
Skewness2.49272684
Sum384607353
Variance8.890265036e+13
MonotocityNot monotonic
2020-11-24T21:52:27.036977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1211276412.0%
 
763585212.0%
 
1817003212.0%
 
427262412.0%
 
247453612.0%
 
239159612.0%
 
116606012.0%
 
2157879212.0%
 
192854012.0%
 
535142812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
68422412.0%
 
70296912.0%
 
72110212.0%
 
76901212.0%
 
116606012.0%
 
ValueCountFrequency (%) 
4450337212.0%
 
4135271812.0%
 
2533492812.0%
 
2464106012.0%
 
2157879212.0%
 

1959Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7680391.706
Minimum697244
Maximum45144520
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:27.178691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum697244
5-th percentile749880
Q11807596
median4690372
Q38111752
95-th percentile25435552
Maximum45144520
Range44447276
Interquartile range (IQR)6304156

Descriptive statistics

Standard deviation9611175.692
Coefficient of variation (CV)1.251391343
Kurtosis6.597670921
Mean7680391.706
Median Absolute Deviation (MAD)2942048
Skewness2.482736877
Sum391699977
Variance9.237469818e+13
MonotocityNot monotonic
2020-11-24T21:52:27.310259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
174832412.0%
 
228842012.0%
 
139717612.0%
 
781518812.0%
 
194573212.0%
 
265784412.0%
 
4514452012.0%
 
555064012.0%
 
389943612.0%
 
122334812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
69724412.0%
 
71617512.0%
 
72138012.0%
 
77838012.0%
 
107403612.0%
 
ValueCountFrequency (%) 
4514452012.0%
 
4227400812.0%
 
2587490812.0%
 
2499619612.0%
 
2205865612.0%
 

1959Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7844747.549
Minimum707403
Maximum45997312
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:27.448587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum707403
5-th percentile771678
Q11829964
median4617072
Q38280332
95-th percentile26157678
Maximum45997312
Range45289909
Interquartile range (IQR)6450368

Descriptive statistics

Standard deviation9860178.925
Coefficient of variation (CV)1.256914753
Kurtosis6.52079504
Mean7844747.549
Median Absolute Deviation (MAD)2838260
Skewness2.474139201
Sum400082125
Variance9.722312843e+13
MonotocityNot monotonic
2020-11-24T21:52:27.584143image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
790824812.0%
 
740825212.0%
 
1003102012.0%
 
126598412.0%
 
2655225212.0%
 
722175612.0%
 
575455212.0%
 
74164812.0%
 
2278788412.0%
 
250718412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
70740312.0%
 
71540812.0%
 
74164812.0%
 
80170812.0%
 
102875212.0%
 
ValueCountFrequency (%) 
4599731212.0%
 
4347009212.0%
 
2655225212.0%
 
2576310412.0%
 
2278788412.0%
 

1959Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7892724.961
Minimum682663
Maximum46524908
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:27.719507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum682663
5-th percentile779882
Q11840742
median4585812
Q38368842
95-th percentile25935432
Maximum46524908
Range45842245
Interquartile range (IQR)6528100

Descriptive statistics

Standard deviation9949099.86
Coefficient of variation (CV)1.26054055
Kurtosis6.742696813
Mean7892724.961
Median Absolute Deviation (MAD)2807132
Skewness2.505207983
Sum402528973
Variance9.898458803e+13
MonotocityNot monotonic
2020-11-24T21:52:27.855188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2262027212.0%
 
68266312.0%
 
705516412.0%
 
4431641212.0%
 
2525701612.0%
 
177868012.0%
 
108056412.0%
 
1591940812.0%
 
132361612.0%
 
291946812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
68266312.0%
 
72526812.0%
 
74762812.0%
 
81213612.0%
 
107006812.0%
 
ValueCountFrequency (%) 
4652490812.0%
 
4431641212.0%
 
2661384812.0%
 
2525701612.0%
 
2262027212.0%
 

1959Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8007547
Minimum706707
Maximum47160340
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:27.983827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum706707
5-th percentile803508
Q11878148
median4670888
Q38465002
95-th percentile26214498
Maximum47160340
Range46453633
Interquartile range (IQR)6586854

Descriptive statistics

Standard deviation10097350.99
Coefficient of variation (CV)1.260979298
Kurtosis6.840295078
Mean8007547
Median Absolute Deviation (MAD)2868980
Skewness2.520503731
Sum408384897
Variance1.019564971e+14
MonotocityNot monotonic
2020-11-24T21:52:28.118477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
567167612.0%
 
707996412.0%
 
113605612.0%
 
1028931212.0%
 
83704412.0%
 
2292574412.0%
 
558289212.0%
 
180190812.0%
 
467088812.0%
 
108150812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
70670712.0%
 
73997612.0%
 
76997212.0%
 
83704412.0%
 
108150812.0%
 
ValueCountFrequency (%) 
4716034012.0%
 
4529471212.0%
 
2688889212.0%
 
2554010412.0%
 
2292574412.0%
 

1960Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8095913.098
Minimum753780
Maximum47933996
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:28.253467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum753780
5-th percentile817520
Q11891350
median4657536
Q38495312
95-th percentile26737198
Maximum47933996
Range47180216
Interquartile range (IQR)6603962

Descriptive statistics

Standard deviation10237637.86
Coefficient of variation (CV)1.264543942
Kurtosis6.764588887
Mean8095913.098
Median Absolute Deviation (MAD)2981952
Skewness2.511986992
Sum412891568
Variance1.048092291e+14
MonotocityNot monotonic
2020-11-24T21:52:28.388010image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
805993212.0%
 
893069212.0%
 
114246012.0%
 
585710412.0%
 
2634280412.0%
 
719967212.0%
 
1637266012.0%
 
140005212.0%
 
465753612.0%
 
189841212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
75378012.0%
 
75502012.0%
 
77918012.0%
 
85586012.0%
 
114246012.0%
 
ValueCountFrequency (%) 
4793399612.0%
 
4550998012.0%
 
2713159212.0%
 
2634280412.0%
 
2346496412.0%
 

1960Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8193977.804
Minimum759288
Maximum48123436
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:28.510058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum759288
5-th percentile839448
Q11923230
median4754032
Q38573314
95-th percentile26811544
Maximum48123436
Range47364148
Interquartile range (IQR)6650084

Descriptive statistics

Standard deviation10308656.16
Coefficient of variation (CV)1.25807714
Kurtosis6.789438506
Mean8193977.804
Median Absolute Deviation (MAD)2948564
Skewness2.513855849
Sum417892868
Variance1.062683918e+14
MonotocityNot monotonic
2020-11-24T21:52:28.652079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2724850812.0%
 
569690012.0%
 
464540412.0%
 
764078012.0%
 
137619212.0%
 
313516012.0%
 
2637458012.0%
 
194334012.0%
 
189252812.0%
 
726782412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
75928812.0%
 
78374012.0%
 
80859612.0%
 
87030012.0%
 
119158812.0%
 
ValueCountFrequency (%) 
4812343612.0%
 
4617963212.0%
 
2724850812.0%
 
2637458012.0%
 
2364016412.0%
 

1960Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8236494.51
Minimum760972
Maximum48427836
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:28.783478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum760972
5-th percentile858382
Q11933136
median4922224
Q38617588
95-th percentile26888254
Maximum48427836
Range47666864
Interquartile range (IQR)6684452

Descriptive statistics

Standard deviation10365519.29
Coefficient of variation (CV)1.25848676
Kurtosis6.883204913
Mean8236494.51
Median Absolute Deviation (MAD)3018220
Skewness2.528161529
Sum420061220
Variance1.074439901e+14
MonotocityNot monotonic
2020-11-24T21:52:28.922537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
560926412.0%
 
699186812.0%
 
1889093212.0%
 
147270012.0%
 
414519212.0%
 
1043486412.0%
 
596975212.0%
 
138756412.0%
 
826538412.0%
 
89592012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
76097212.0%
 
77644812.0%
 
82084412.0%
 
89592012.0%
 
125531212.0%
 
ValueCountFrequency (%) 
4842783612.0%
 
4662865612.0%
 
2750763212.0%
 
2626887612.0%
 
2355451612.0%
 

1960Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8265379.294
Minimum765792
Maximum48667396
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:29.064722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum765792
5-th percentile878388
Q11940340
median4967532
Q38631178
95-th percentile26805944
Maximum48667396
Range47901604
Interquartile range (IQR)6690838

Descriptive statistics

Standard deviation10398228.91
Coefficient of variation (CV)1.258046187
Kurtosis7.005930301
Mean8265379.294
Median Absolute Deviation (MAD)3038916
Skewness2.544923018
Sum421534344
Variance1.081231644e+14
MonotocityNot monotonic
2020-11-24T21:52:29.207858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2338204412.0%
 
192861612.0%
 
1038878012.0%
 
509176412.0%
 
303737212.0%
 
828177612.0%
 
784759612.0%
 
144968012.0%
 
601053612.0%
 
583782812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
76579212.0%
 
78568412.0%
 
84440812.0%
 
91236812.0%
 
125740412.0%
 
ValueCountFrequency (%) 
4866739612.0%
 
4701478012.0%
 
2748837612.0%
 
2612351212.0%
 
2338204412.0%
 

1961Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8358550.275
Minimum773972
Maximum49211800
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:29.339776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum773972
5-th percentile871240
Q11964286
median5071444
Q38764370
95-th percentile27039308
Maximum49211800
Range48437828
Interquartile range (IQR)6800084

Descriptive statistics

Standard deviation10527071.94
Coefficient of variation (CV)1.259437534
Kurtosis7.127278997
Mean8358550.275
Median Absolute Deviation (MAD)3118644
Skewness2.562360404
Sum426286064
Variance1.108192437e+14
MonotocityNot monotonic
2020-11-24T21:52:29.483737image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
246192012.0%
 
783631612.0%
 
2626470812.0%
 
800542012.0%
 
142084812.0%
 
1702082812.0%
 
294084412.0%
 
709341212.0%
 
1082376812.0%
 
195280012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
77397212.0%
 
80534412.0%
 
81580812.0%
 
92667212.0%
 
109245212.0%
 
ValueCountFrequency (%) 
4921180012.0%
 
4795270012.0%
 
2781390812.0%
 
2626470812.0%
 
2337749612.0%
 

1961Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8479972.235
Minimum783344
Maximum50042168
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:29.622884image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum783344
5-th percentile882656
Q11996884
median4980680
Q38914912
95-th percentile27396722
Maximum50042168
Range49258824
Interquartile range (IQR)6918028

Descriptive statistics

Standard deviation10704013.27
Coefficient of variation (CV)1.262269848
Kurtosis7.105260413
Mean8479972.235
Median Absolute Deviation (MAD)3166648
Skewness2.55822048
Sum432478584
Variance1.145759e+14
MonotocityNot monotonic
2020-11-24T21:52:29.784598image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
314788812.0%
 
144162012.0%
 
174661212.0%
 
814732812.0%
 
130065612.0%
 
459103212.0%
 
918519612.0%
 
134113612.0%
 
1882683612.0%
 
209270812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
78334412.0%
 
79041212.0%
 
81283212.0%
 
95248012.0%
 
101366412.0%
 
ValueCountFrequency (%) 
5004216812.0%
 
4867462812.0%
 
2814957212.0%
 
2664387212.0%
 
2378428412.0%
 

1961Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8618096.392
Minimum791680
Maximum50754604
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:29.918898image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum791680
5-th percentile906688
Q12030246
median5058792
Q39070722
95-th percentile27832852
Maximum50754604
Range49962924
Interquartile range (IQR)7040476

Descriptive statistics

Standard deviation10865136.62
Coefficient of variation (CV)1.260735101
Kurtosis7.117692728
Mean8618096.392
Median Absolute Deviation (MAD)3275176
Skewness2.559898315
Sum439522916
Variance1.180511938e+14
MonotocityNot monotonic
2020-11-24T21:52:30.063425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
467876812.0%
 
761612012.0%
 
1120452812.0%
 
318104012.0%
 
273502012.0%
 
252151212.0%
 
2703462812.0%
 
2863107612.0%
 
380834412.0%
 
2414509612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
79168012.0%
 
80206412.0%
 
83499212.0%
 
97838412.0%
 
112699612.0%
 
ValueCountFrequency (%) 
5075460412.0%
 
4950252812.0%
 
2863107612.0%
 
2703462812.0%
 
2414509612.0%
 

1961Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8782832.078
Minimum788140
Maximum51788520
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:30.198834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum788140
5-th percentile945728
Q12060938
median5049612
Q39224020
95-th percentile28248946
Maximum51788520
Range51000380
Interquartile range (IQR)7163082

Descriptive statistics

Standard deviation11068766.36
Coefficient of variation (CV)1.260273026
Kurtosis7.156345373
Mean8782832.078
Median Absolute Deviation (MAD)3265812
Skewness2.56499731
Sum447924436
Variance1.225175888e+14
MonotocityNot monotonic
2020-11-24T21:52:30.332037image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
649014012.0%
 
317418412.0%
 
5046001212.0%
 
483269612.0%
 
180783612.0%
 
134666412.0%
 
329846412.0%
 
1945118412.0%
 
1791122412.0%
 
552708012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
78814012.0%
 
80876812.0%
 
83535212.0%
 
105610412.0%
 
121203212.0%
 
ValueCountFrequency (%) 
5178852012.0%
 
5046001212.0%
 
2905168812.0%
 
2744620412.0%
 
2453315212.0%
 

1962Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8917203.922
Minimum803312
Maximum52235836
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:30.445883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum803312
5-th percentile985030
Q12102072
median5198848
Q39387536
95-th percentile28575768
Maximum52235836
Range51432524
Interquartile range (IQR)7285464

Descriptive statistics

Standard deviation11203454.04
Coefficient of variation (CV)1.256386434
Kurtosis7.144946198
Mean8917203.922
Median Absolute Deviation (MAD)3386976
Skewness2.563122306
Sum454777400
Variance1.255173824e+14
MonotocityNot monotonic
2020-11-24T21:52:30.564172image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
868067212.0%
 
181187212.0%
 
653201612.0%
 
80331212.0%
 
1120925612.0%
 
494455612.0%
 
2942024012.0%
 
444419212.0%
 
82039212.0%
 
324196012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
80331212.0%
 
82039212.0%
 
85484012.0%
 
111522012.0%
 
138436012.0%
 
ValueCountFrequency (%) 
5223583612.0%
 
5130972812.0%
 
2942024012.0%
 
2773129612.0%
 
2483768412.0%
 

1962Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9062631.059
Minimum809656
Maximum52971320
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:30.682513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum809656
5-th percentile1002638
Q12132734
median5258096
Q39563902
95-th percentile28954788
Maximum52971320
Range52161664
Interquartile range (IQR)7431168

Descriptive statistics

Standard deviation11387269.25
Coefficient of variation (CV)1.256508091
Kurtosis7.189281053
Mean9062631.059
Median Absolute Deviation (MAD)3398396
Skewness2.569493277
Sum462194184
Variance1.296699009e+14
MonotocityNot monotonic
2020-11-24T21:52:30.805151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
219942012.0%
 
185970012.0%
 
169249612.0%
 
5297132012.0%
 
863029212.0%
 
936824412.0%
 
308164812.0%
 
349486812.0%
 
2013815612.0%
 
2524840812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
80965612.0%
 
83036012.0%
 
85430012.0%
 
115097612.0%
 
142388812.0%
 
ValueCountFrequency (%) 
5297132012.0%
 
5239930012.0%
 
2998082012.0%
 
2792875612.0%
 
2524840812.0%
 

1962Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9157932.235
Minimum836056
Maximum53533424
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:30.922870image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum836056
5-th percentile1016264
Q12154232
median5236528
Q39644498
95-th percentile29081998
Maximum53533424
Range52697368
Interquartile range (IQR)7490266

Descriptive statistics

Standard deviation11529798.65
Coefficient of variation (CV)1.258995847
Kurtosis7.312645351
Mean9157932.235
Median Absolute Deviation (MAD)3515448
Skewness2.587329451
Sum467054544
Variance1.32936257e+14
MonotocityNot monotonic
2020-11-24T21:52:31.049853image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
822178012.0%
 
146980812.0%
 
622429212.0%
 
223736812.0%
 
1475790812.0%
 
404267612.0%
 
2159546412.0%
 
523652812.0%
 
156880812.0%
 
499024412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
83605612.0%
 
84559212.0%
 
84694012.0%
 
118558812.0%
 
144138812.0%
 
ValueCountFrequency (%) 
5353342412.0%
 
5345738012.0%
 
3011282812.0%
 
2805116812.0%
 
2536432412.0%
 

1962Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9273840.627
Minimum838464
Maximum54589264
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:31.168725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum838464
5-th percentile1043662
Q12169920
median5280616
Q39805762
95-th percentile29344828
Maximum54589264
Range53750800
Interquartile range (IQR)7635842

Descriptive statistics

Standard deviation11670304.26
Coefficient of variation (CV)1.25841113
Kurtosis7.367493597
Mean9273840.627
Median Absolute Deviation (MAD)3495176
Skewness2.594718367
Sum472965872
Variance1.361960015e+14
MonotocityNot monotonic
2020-11-24T21:52:31.289282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
147583612.0%
 
229904012.0%
 
2828184812.0%
 
503288412.0%
 
84874012.0%
 
319351612.0%
 
145886812.0%
 
83846412.0%
 
1064324012.0%
 
1172662812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
83846412.0%
 
84874012.0%
 
85829612.0%
 
122902812.0%
 
145886812.0%
 
ValueCountFrequency (%) 
5458926412.0%
 
5385324412.0%
 
3040780812.0%
 
2828184812.0%
 
2551980012.0%
 

1963Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9378843.137
Minimum845444
Maximum55432632
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:31.409094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum845444
5-th percentile1073056
Q12186902
median5343140
Q39866138
95-th percentile29549264
Maximum55432632
Range54587188
Interquartile range (IQR)7679236

Descriptive statistics

Standard deviation11803742.31
Coefficient of variation (CV)1.258549924
Kurtosis7.4028713
Mean9378843.137
Median Absolute Deviation (MAD)3605132
Skewness2.598214389
Sum478321000
Variance1.393283326e+14
MonotocityNot monotonic
2020-11-24T21:52:31.524090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
333552412.0%
 
2844534412.0%
 
148473212.0%
 
5543263212.0%
 
1256256412.0%
 
87192412.0%
 
357752012.0%
 
1079594812.0%
 
928132012.0%
 
1179640012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
84544412.0%
 
85565212.0%
 
87192412.0%
 
127418812.0%
 
148473212.0%
 
ValueCountFrequency (%) 
5543263212.0%
 
5434032812.0%
 
3065318412.0%
 
2844534412.0%
 
2574169212.0%
 

1963Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9473987.137
Minimum855172
Maximum55847644
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:31.640897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum855172
5-th percentile1098264
Q12190764
median5376532
Q310016470
95-th percentile29913394
Maximum55847644
Range54992472
Interquartile range (IQR)7825706

Descriptive statistics

Standard deviation11925629.63
Coefficient of variation (CV)1.258776211
Kurtosis7.352259203
Mean9473987.137
Median Absolute Deviation (MAD)3659052
Skewness2.589782823
Sum483173344
Variance1.42220642e+14
MonotocityNot monotonic
2020-11-24T21:52:31.757507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1092317612.0%
 
866384012.0%
 
144671612.0%
 
2225302012.0%
 
836308412.0%
 
859832412.0%
 
5493098412.0%
 
199966412.0%
 
647942812.0%
 
147212412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
85517212.0%
 
86026812.0%
 
89026412.0%
 
130626412.0%
 
144671612.0%
 
ValueCountFrequency (%) 
5584764412.0%
 
5493098412.0%
 
3091035212.0%
 
2891643612.0%
 
2616587212.0%
 

1963Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9617494.039
Minimum866936
Maximum56914456
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:31.872802image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum866936
5-th percentile1117334
Q12229770
median5318488
Q310211926
95-th percentile30278146
Maximum56914456
Range56047520
Interquartile range (IQR)7982156

Descriptive statistics

Standard deviation12103265.51
Coefficient of variation (CV)1.258463531
Kurtosis7.374021498
Mean9617494.039
Median Absolute Deviation (MAD)3659880
Skewness2.591517857
Sum490492196
Variance1.464890359e+14
MonotocityNot monotonic
2020-11-24T21:52:31.983040image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
607794812.0%
 
664912412.0%
 
231250412.0%
 
2921855212.0%
 
427102812.0%
 
715186012.0%
 
1213086412.0%
 
289124812.0%
 
2263888412.0%
 
1018270012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
86693612.0%
 
87982012.0%
 
90794012.0%
 
132672812.0%
 
138778412.0%
 
ValueCountFrequency (%) 
5691445612.0%
 
5557011612.0%
 
3133774012.0%
 
2921855212.0%
 
2644580012.0%
 

1963Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9792185.49
Minimum879660
Maximum58225056
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:32.098866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum879660
5-th percentile1140584
Q12269114
median5420868
Q310402162
95-th percentile30666878
Maximum58225056
Range57345396
Interquartile range (IQR)8133048

Descriptive statistics

Standard deviation12335116.3
Coefficient of variation (CV)1.259689812
Kurtosis7.432490065
Mean9792185.49
Median Absolute Deviation (MAD)3741500
Skewness2.598512415
Sum499401460
Variance1.521550941e+14
MonotocityNot monotonic
2020-11-24T21:52:32.214302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
207160812.0%
 
2008803212.0%
 
2298564812.0%
 
5655405212.0%
 
153143612.0%
 
693126412.0%
 
729552812.0%
 
1049748412.0%
 
135978012.0%
 
156683612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
87966012.0%
 
88746412.0%
 
92206012.0%
 
135910812.0%
 
135978012.0%
 
ValueCountFrequency (%) 
5822505612.0%
 
5655405212.0%
 
3175507212.0%
 
2957868412.0%
 
2679830812.0%
 

1964Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9982085.725
Minimum887808
Maximum59670780
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:32.333354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum887808
5-th percentile1168360
Q12293134
median5490240
Q310675428
95-th percentile31211770
Maximum59670780
Range58782972
Interquartile range (IQR)8382294

Descriptive statistics

Standard deviation12612000.13
Coefficient of variation (CV)1.263463416
Kurtosis7.486721829
Mean9982085.725
Median Absolute Deviation (MAD)3792084
Skewness2.606600644
Sum509086372
Variance1.590625472e+14
MonotocityNot monotonic
2020-11-24T21:52:32.451919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1056070812.0%
 
142102412.0%
 
620010812.0%
 
364895212.0%
 
2346554012.0%
 
355934012.0%
 
137693612.0%
 
906544812.0%
 
5776810012.0%
 
2729283212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
88780812.0%
 
89570012.0%
 
95978412.0%
 
137693612.0%
 
138767212.0%
 
ValueCountFrequency (%) 
5967078012.0%
 
5776810012.0%
 
3234770012.0%
 
3007584012.0%
 
2729283212.0%
 

1964Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10166884.08
Minimum892368
Maximum60954168
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:32.571169image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum892368
5-th percentile1197626
Q12339922
median5617236
Q310928944
95-th percentile31906016
Maximum60954168
Range60061800
Interquartile range (IQR)8589022

Descriptive statistics

Standard deviation12867038.34
Coefficient of variation (CV)1.265583265
Kurtosis7.457412001
Mean10166884.08
Median Absolute Deviation (MAD)3886256
Skewness2.602669828
Sum518511088
Variance1.655606757e+14
MonotocityNot monotonic
2020-11-24T21:52:32.684066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
980195212.0%
 
922946812.0%
 
1080196412.0%
 
242692812.0%
 
341872012.0%
 
170385212.0%
 
561723612.0%
 
696144412.0%
 
537027612.0%
 
143266412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
89236812.0%
 
91674012.0%
 
99100412.0%
 
140424812.0%
 
140812412.0%
 
ValueCountFrequency (%) 
6095416812.0%
 
5872237212.0%
 
3300937212.0%
 
3080266012.0%
 
2778058012.0%
 

1964Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10343223.92
Minimum899428
Maximum61864344
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:32.803253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum899428
5-th percentile1228912
Q12345616
median5703192
Q311164826
95-th percentile32499580
Maximum61864344
Range60964916
Interquartile range (IQR)8819210

Descriptive statistics

Standard deviation13089050.65
Coefficient of variation (CV)1.265471071
Kurtosis7.402308368
Mean10343223.92
Median Absolute Deviation (MAD)3941480
Skewness2.594611614
Sum527504420
Variance1.71323247e+14
MonotocityNot monotonic
2020-11-24T21:52:32.920605image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1420533612.0%
 
879708412.0%
 
241413212.0%
 
89942812.0%
 
2414058812.0%
 
364817612.0%
 
1137182012.0%
 
307024412.0%
 
102173612.0%
 
623252412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
89942812.0%
 
92924812.0%
 
102173612.0%
 
143608812.0%
 
144719212.0%
 
ValueCountFrequency (%) 
6186434412.0%
 
5973414812.0%
 
3361290412.0%
 
3138625612.0%
 
2837068812.0%
 

1964Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10511414.12
Minimum911876
Maximum62678852
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:33.044450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum911876
5-th percentile1256388
Q12411052
median5787956
Q311401834
95-th percentile33110338
Maximum62678852
Range61766976
Interquartile range (IQR)8990782

Descriptive statistics

Standard deviation13250996.44
Coefficient of variation (CV)1.260629283
Kurtosis7.325768437
Mean10511414.12
Median Absolute Deviation (MAD)3998688
Skewness2.581670657
Sum536082120
Variance1.755889067e+14
MonotocityNot monotonic
2020-11-24T21:52:33.165587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
308844012.0%
 
1319032412.0%
 
373318012.0%
 
578795612.0%
 
384120812.0%
 
891243612.0%
 
785003212.0%
 
170705212.0%
 
1187639212.0%
 
2881166812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
91187612.0%
 
95217212.0%
 
104978012.0%
 
146299612.0%
 
148066412.0%
 
ValueCountFrequency (%) 
6267885212.0%
 
6025828412.0%
 
3425250012.0%
 
3196817612.0%
 
2881166812.0%
 

1965Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10732491.22
Minimum916916
Maximum63675348
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:33.284558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum916916
5-th percentile1277326
Q12455354
median5873384
Q311625584
95-th percentile33654858
Maximum63675348
Range62758432
Interquartile range (IQR)9170230

Descriptive statistics

Standard deviation13472132.23
Coefficient of variation (CV)1.255266085
Kurtosis7.229480541
Mean10732491.22
Median Absolute Deviation (MAD)4062880
Skewness2.565137197
Sum547357052
Variance1.814983469e+14
MonotocityNot monotonic
2020-11-24T21:52:33.403486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
552058012.0%
 
961325212.0%
 
232606812.0%
 
3236856012.0%
 
2943374012.0%
 
1218615212.0%
 
1179508012.0%
 
239863212.0%
 
171927212.0%
 
180432412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
91691612.0%
 
96562012.0%
 
105665612.0%
 
149799612.0%
 
153688012.0%
 
ValueCountFrequency (%) 
6367534812.0%
 
6112904012.0%
 
3494115612.0%
 
3236856012.0%
 
2943374012.0%
 

1965Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10921706.98
Minimum922448
Maximum64632128
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:33.524237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum922448
5-th percentile1297746
Q12482804
median5971584
Q311783890
95-th percentile34251514
Maximum64632128
Range63709680
Interquartile range (IQR)9301086

Descriptive statistics

Standard deviation13680590.03
Coefficient of variation (CV)1.252605482
Kurtosis7.15665998
Mean10921706.98
Median Absolute Deviation (MAD)4116216
Skewness2.553067314
Sum557007056
Variance1.871585436e+14
MonotocityNot monotonic
2020-11-24T21:52:33.636951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
995239612.0%
 
1247296012.0%
 
236575212.0%
 
181861612.0%
 
746810812.0%
 
393243212.0%
 
1710443212.0%
 
1116974812.0%
 
2568708012.0%
 
377390012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
92244812.0%
 
99402412.0%
 
107803612.0%
 
151745612.0%
 
159076812.0%
 
ValueCountFrequency (%) 
6463212812.0%
 
6192224812.0%
 
3565497212.0%
 
3284805612.0%
 
2992356012.0%
 

1965Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11195133.49
Minimum930176
Maximum66047660
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:33.756265image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum930176
5-th percentile1320104
Q12528872
median6087912
Q312070818
95-th percentile35064854
Maximum66047660
Range65117484
Interquartile range (IQR)9541946

Descriptive statistics

Standard deviation13995014.53
Coefficient of variation (CV)1.250098049
Kurtosis7.166941925
Mean11195133.49
Median Absolute Deviation (MAD)4184568
Skewness2.553800687
Sum570951808
Variance1.958604317e+14
MonotocityNot monotonic
2020-11-24T21:52:33.868833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
258162812.0%
 
1766736012.0%
 
187192012.0%
 
2617614412.0%
 
956024412.0%
 
1223923212.0%
 
278520012.0%
 
3642154812.0%
 
2306418812.0%
 
843152812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
93017612.0%
 
103182812.0%
 
110148812.0%
 
153872012.0%
 
167984812.0%
 
ValueCountFrequency (%) 
6604766012.0%
 
6351642412.0%
 
3642154812.0%
 
3370816012.0%
 
3059202812.0%
 

1965Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11435452.63
Minimum937620
Maximum67427852
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:33.993990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum937620
5-th percentile1325898
Q12568468
median6165624
Q312286740
95-th percentile35873934
Maximum67427852
Range66490232
Interquartile range (IQR)9718272

Descriptive statistics

Standard deviation14283424.78
Coefficient of variation (CV)1.249047611
Kurtosis7.064179163
Mean11435452.63
Median Absolute Deviation (MAD)4259112
Skewness2.537780824
Sum583208084
Variance2.040162234e+14
MonotocityNot monotonic
2020-11-24T21:52:34.108735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
699295212.0%
 
1608340412.0%
 
531455212.0%
 
194411612.0%
 
1314722812.0%
 
105860412.0%
 
3747960012.0%
 
6742785212.0%
 
187050812.0%
 
3147779212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
93762012.0%
 
105860412.0%
 
110329612.0%
 
154850012.0%
 
168584412.0%
 
ValueCountFrequency (%) 
6742785212.0%
 
6445994412.0%
 
3747960012.0%
 
3426826812.0%
 
3147779212.0%
 

1966Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11690147.14
Minimum936680
Maximum68984456
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:34.229155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum936680
5-th percentile1352410
Q12636642
median6292420
Q312603922
95-th percentile36468548
Maximum68984456
Range68047776
Interquartile range (IQR)9967280

Descriptive statistics

Standard deviation14572715.66
Coefficient of variation (CV)1.24658103
Kurtosis7.072539772
Mean11690147.14
Median Absolute Deviation (MAD)4374020
Skewness2.5366049
Sum596197504
Variance2.123640418e+14
MonotocityNot monotonic
2020-11-24T21:52:34.344068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
247807612.0%
 
629242012.0%
 
885684812.0%
 
1017144012.0%
 
1056612812.0%
 
810036412.0%
 
609450812.0%
 
592757612.0%
 
183658412.0%
 
1251120812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
93668012.0%
 
109877212.0%
 
111311212.0%
 
159170812.0%
 
175847212.0%
 
ValueCountFrequency (%) 
6898445612.0%
 
6563836812.0%
 
3811753612.0%
 
3481956012.0%
 
3209773612.0%
 

1966Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11883115.53
Minimum950292
Maximum70526876
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:34.467191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum950292
5-th percentile1369764
Q12649072
median6407464
Q312806260
95-th percentile37067300
Maximum70526876
Range69576584
Interquartile range (IQR)10157188

Descriptive statistics

Standard deviation14854939.47
Coefficient of variation (CV)1.250087945
Kurtosis7.11707788
Mean11883115.53
Median Absolute Deviation (MAD)4439384
Skewness2.542518033
Sum606038892
Variance2.206692266e+14
MonotocityNot monotonic
2020-11-24T21:52:35.182604image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
727133212.0%
 
2800207612.0%
 
95029212.0%
 
847774812.0%
 
3279461212.0%
 
7052687612.0%
 
564663612.0%
 
259216812.0%
 
428526412.0%
 
1843165212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
95029212.0%
 
112994012.0%
 
113280812.0%
 
160672012.0%
 
168270412.0%
 
ValueCountFrequency (%) 
7052687612.0%
 
6675054412.0%
 
3865769212.0%
 
3547690812.0%
 
3279461212.0%
 

1966Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12118030.27
Minimum955792
Maximum71788372
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:35.311442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum955792
5-th percentile1386356
Q12680072
median6484172
Q313114904
95-th percentile37872248
Maximum71788372
Range70832580
Interquartile range (IQR)10434832

Descriptive statistics

Standard deviation15133880.83
Coefficient of variation (CV)1.248873
Kurtosis7.055569754
Mean12118030.27
Median Absolute Deviation (MAD)4578684
Skewness2.531932954
Sum618019544
Variance2.290343489e+14
MonotocityNot monotonic
2020-11-24T21:52:35.427299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1126303212.0%
 
202362412.0%
 
854405212.0%
 
1098682412.0%
 
1265374412.0%
 
925756812.0%
 
625758012.0%
 
3955468412.0%
 
2896672012.0%
 
1084612012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
95579212.0%
 
116542012.0%
 
116607612.0%
 
160663612.0%
 
168824012.0%
 
ValueCountFrequency (%) 
7178837212.0%
 
6787352012.0%
 
3955468412.0%
 
3618981212.0%
 
3348792012.0%
 

1966Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12382824.71
Minimum957344
Maximum73193516
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:35.554082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum957344
5-th percentile1417060
Q12735302
median6640536
Q313441814
95-th percentile38713478
Maximum73193516
Range72236172
Interquartile range (IQR)10706512

Descriptive statistics

Standard deviation15441233
Coefficient of variation (CV)1.246987934
Kurtosis7.000739727
Mean12382824.71
Median Absolute Deviation (MAD)4690876
Skewness2.522432329
Sum631524060
Variance2.384316765e+14
MonotocityNot monotonic
2020-11-24T21:52:35.669726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
214251212.0%
 
1388790012.0%
 
942127612.0%
 
162627212.0%
 
166315212.0%
 
6915579612.0%
 
7319351612.0%
 
307254412.0%
 
120784812.0%
 
653418012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
95734412.0%
 
120424812.0%
 
120784812.0%
 
162627212.0%
 
166315212.0%
 
ValueCountFrequency (%) 
7319351612.0%
 
6915579612.0%
 
4031985212.0%
 
3710710412.0%
 
3415808412.0%
 

1967Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12589802.2
Minimum986788
Maximum74720124
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:35.794523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum986788
5-th percentile1430502
Q12778388
median6738904
Q313681322
95-th percentile39236956
Maximum74720124
Range73733336
Interquartile range (IQR)10902934

Descriptive statistics

Standard deviation15723977.52
Coefficient of variation (CV)1.248945557
Kurtosis7.140141145
Mean12589802.2
Median Absolute Deviation (MAD)4783324
Skewness2.541737767
Sum642079912
Variance2.472434689e+14
MonotocityNot monotonic
2020-11-24T21:52:35.910517image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
195558012.0%
 
313795212.0%
 
202424412.0%
 
1971221612.0%
 
1175480012.0%
 
272066812.0%
 
961187212.0%
 
1329258812.0%
 
1141981612.0%
 
432315212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
98678812.0%
 
121682012.0%
 
122561612.0%
 
163538812.0%
 
168288012.0%
 
ValueCountFrequency (%) 
7472012412.0%
 
7071358012.0%
 
4080407212.0%
 
3766984012.0%
 
3424920812.0%
 

1967Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12727219.84
Minimum1003344
Maximum75449252
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:36.042624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1003344
5-th percentile1455906
Q12824762
median6809304
Q313819154
95-th percentile39676086
Maximum75449252
Range74445908
Interquartile range (IQR)10994392

Descriptive statistics

Standard deviation15903225.21
Coefficient of variation (CV)1.249544316
Kurtosis7.161369025
Mean12727219.84
Median Absolute Deviation (MAD)4787092
Skewness2.54504344
Sum649088212
Variance2.529125721e+14
MonotocityNot monotonic
2020-11-24T21:52:36.164393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
447192012.0%
 
1848771212.0%
 
166879212.0%
 
1265054412.0%
 
1350154412.0%
 
278392012.0%
 
202292412.0%
 
665809212.0%
 
2625770012.0%
 
1200477612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
100334412.0%
 
122766812.0%
 
124302012.0%
 
166879212.0%
 
170778812.0%
 
ValueCountFrequency (%) 
7544925212.0%
 
7174879212.0%
 
4131293212.0%
 
3803924012.0%
 
3406796412.0%
 

1967Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12999196.39
Minimum1030296
Maximum77254844
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:36.299981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1030296
5-th percentile1492690
Q12892652
median7005204
Q314069218
95-th percentile40425012
Maximum77254844
Range76224548
Interquartile range (IQR)11176566

Descriptive statistics

Standard deviation16259261.28
Coefficient of variation (CV)1.250789725
Kurtosis7.165913759
Mean12999196.39
Median Absolute Deviation (MAD)4995828
Skewness2.545487174
Sum662959016
Variance2.643635775e+14
MonotocityNot monotonic
2020-11-24T21:52:36.419956image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
440430812.0%
 
200937612.0%
 
700520412.0%
 
1223275612.0%
 
7725484412.0%
 
227409212.0%
 
1373560012.0%
 
4214737212.0%
 
2669085212.0%
 
171408812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
103029612.0%
 
125212012.0%
 
127129212.0%
 
171408812.0%
 
174125212.0%
 
ValueCountFrequency (%) 
7725484412.0%
 
7321270412.0%
 
4214737212.0%
 
3870265212.0%
 
3490318812.0%
 

1967Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13201507.06
Minimum1045224
Maximum78502784
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:36.544152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1045224
5-th percentile1495660
Q12923150
median7143900
Q314360186
95-th percentile40779342
Maximum78502784
Range77457560
Interquartile range (IQR)11437036

Descriptive statistics

Standard deviation16523708.73
Coefficient of variation (CV)1.251653213
Kurtosis7.25585304
Mean13201507.06
Median Absolute Deviation (MAD)5097404
Skewness2.557624938
Sum673276860
Variance2.730329502e+14
MonotocityNot monotonic
2020-11-24T21:52:36.667909image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
331647612.0%
 
1386723612.0%
 
946784012.0%
 
372140012.0%
 
456816812.0%
 
1199966812.0%
 
662468812.0%
 
1241233212.0%
 
634461612.0%
 
263672012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
104522412.0%
 
127664412.0%
 
129840412.0%
 
169291612.0%
 
178155212.0%
 
ValueCountFrequency (%) 
7850278412.0%
 
7478414812.0%
 
4231610412.0%
 
3924258012.0%
 
3561376412.0%
 

1968Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13593803.53
Minimum1066568
Maximum80739646
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:36.817260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1066568
5-th percentile1528490
Q12974899
median7299696
Q314803272
95-th percentile41857398
Maximum80739646
Range79673078
Interquartile range (IQR)11828373

Descriptive statistics

Standard deviation17005307.04
Coefficient of variation (CV)1.25096019
Kurtosis7.180400306
Mean13593803.53
Median Absolute Deviation (MAD)5212420
Skewness2.544440741
Sum693283980
Variance2.891804676e+14
MonotocityNot monotonic
2020-11-24T21:52:36.934828image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
480012412.0%
 
186346412.0%
 
8073964612.0%
 
131909612.0%
 
468652412.0%
 
208727612.0%
 
294354412.0%
 
450117212.0%
 
844409212.0%
 
2034321612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
106656812.0%
 
131444012.0%
 
131909612.0%
 
173788412.0%
 
186346412.0%
 
ValueCountFrequency (%) 
8073964612.0%
 
7676517612.0%
 
4324879612.0%
 
4046600012.0%
 
3680486412.0%
 

1968Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13981295.14
Minimum1078072
Maximum82846854
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:37.059971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1078072
5-th percentile1544516
Q13100567
median7480296
Q315308704
95-th percentile42812070
Maximum82846854
Range81768782
Interquartile range (IQR)12208137

Descriptive statistics

Standard deviation17478974.76
Coefficient of variation (CV)1.2501685
Kurtosis7.190728306
Mean13981295.14
Median Absolute Deviation (MAD)5365012
Skewness2.544779934
Sum713046052
Variance3.055145588e+14
MonotocityNot monotonic
2020-11-24T21:52:37.182430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
134770812.0%
 
1073718412.0%
 
278674012.0%
 
461355212.0%
 
245954812.0%
 
497227212.0%
 
221654412.0%
 
1493047612.0%
 
351274412.0%
 
3267624412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
107807212.0%
 
134770812.0%
 
135794012.0%
 
173109212.0%
 
188519212.0%
 
ValueCountFrequency (%) 
8284685412.0%
 
7916053212.0%
 
4424462812.0%
 
4137951212.0%
 
3798140812.0%
 

1968Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14315054.82
Minimum1093172
Maximum84921550
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:37.308157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1093172
5-th percentile1584716
Q13213923
median7693588
Q315631006
95-th percentile43572318
Maximum84921550
Range83828378
Interquartile range (IQR)12417083

Descriptive statistics

Standard deviation17912825.73
Coefficient of variation (CV)1.251327777
Kurtosis7.24136541
Mean14315054.82
Median Absolute Deviation (MAD)5454056
Skewness2.551435233
Sum730067796
Variance3.208693255e+14
MonotocityNot monotonic
2020-11-24T21:52:37.418953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4217045212.0%
 
293251212.0%
 
4497418412.0%
 
109317212.0%
 
1312180812.0%
 
252100812.0%
 
177975612.0%
 
2234952012.0%
 
2944861612.0%
 
192660412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
109317212.0%
 
136950412.0%
 
138967612.0%
 
177975612.0%
 
192660412.0%
 
ValueCountFrequency (%) 
8492155012.0%
 
8131882012.0%
 
4497418412.0%
 
4217045212.0%
 
3872494012.0%
 

1968Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14635650.43
Minimum1102060
Maximum86639738
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:37.533928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1102060
5-th percentile1637068
Q13257193
median7848064
Q316047178
95-th percentile44428746
Maximum86639738
Range85537678
Interquartile range (IQR)12789985

Descriptive statistics

Standard deviation18315907.06
Coefficient of variation (CV)1.251458358
Kurtosis7.210509301
Mean14635650.43
Median Absolute Deviation (MAD)5584792
Skewness2.546051789
Sum746418172
Variance3.354724516e+14
MonotocityNot monotonic
2020-11-24T21:52:37.645176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1546447612.0%
 
258819612.0%
 
319636012.0%
 
394540012.0%
 
1027352812.0%
 
757872812.0%
 
211358812.0%
 
703014412.0%
 
494020812.0%
 
3958775612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
110206012.0%
 
139279612.0%
 
142135612.0%
 
185278012.0%
 
196428812.0%
 
ValueCountFrequency (%) 
8663973812.0%
 
8325712412.0%
 
4598735212.0%
 
4287014012.0%
 
3958775612.0%
 

1969Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14961255.84
Minimum1166180
Maximum89008864
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:37.763455image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1166180
5-th percentile1674034
Q13370612
median8098696
Q316463748
95-th percentile45464420
Maximum89008864
Range87842684
Interquartile range (IQR)13093136

Descriptive statistics

Standard deviation18490708.8
Coefficient of variation (CV)1.235906196
Kurtosis6.981992759
Mean14961255.84
Median Absolute Deviation (MAD)5836736
Skewness2.500339341
Sum763024048
Variance3.419063118e+14
MonotocityNot monotonic
2020-11-24T21:52:37.881866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1142084012.0%
 
144392812.0%
 
2332779212.0%
 
3697990812.0%
 
596907612.0%
 
512618412.0%
 
1657834812.0%
 
1366494412.0%
 
747767612.0%
 
268957612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
116618012.0%
 
144392812.0%
 
148284812.0%
 
186522012.0%
 
199711612.0%
 
ValueCountFrequency (%) 
8900886412.0%
 
8145544812.0%
 
4701871612.0%
 
4391012412.0%
 
4043886012.0%
 

1969Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15340374.59
Minimum1204376
Maximum91411276
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:38.008421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1204376
5-th percentile1767630
Q13441288
median8331680
Q316825584
95-th percentile46573768
Maximum91411276
Range90206900
Interquartile range (IQR)13384296

Descriptive statistics

Standard deviation18932007.26
Coefficient of variation (CV)1.234129398
Kurtosis7.001069938
Mean15340374.59
Median Absolute Deviation (MAD)5970188
Skewness2.501612093
Sum782359104
Variance3.584208987e+14
MonotocityNot monotonic
2020-11-24T21:52:38.122617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
198658812.0%
 
1056642812.0%
 
3789480012.0%
 
275873212.0%
 
308946012.0%
 
1566644812.0%
 
1704427212.0%
 
334532412.0%
 
8315562412.0%
 
231514012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
120437612.0%
 
148487212.0%
 
154867212.0%
 
198658812.0%
 
204365612.0%
 
ValueCountFrequency (%) 
9141127612.0%
 
8315562412.0%
 
4819428812.0%
 
4495324812.0%
 
4134546812.0%
 

1969Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15714794.51
Minimum1226420
Maximum93094032
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:38.236630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1226420
5-th percentile1818218
Q13556674
median8573500
Q317312944
95-th percentile47571434
Maximum93094032
Range91867612
Interquartile range (IQR)13756270

Descriptive statistics

Standard deviation19319067.19
Coefficient of variation (CV)1.229355381
Kurtosis6.900705107
Mean15714794.51
Median Absolute Deviation (MAD)6166744
Skewness2.48424428
Sum801454520
Variance3.73226357e+14
MonotocityNot monotonic
2020-11-24T21:52:38.352242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2446859212.0%
 
1454633212.0%
 
240611212.0%
 
210668412.0%
 
342197612.0%
 
376133612.0%
 
122642012.0%
 
1086593612.0%
 
152416012.0%
 
548792012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
122642012.0%
 
152416012.0%
 
158168812.0%
 
205474812.0%
 
210668412.0%
 
ValueCountFrequency (%) 
9309403212.0%
 
8476980812.0%
 
4922823612.0%
 
4591463212.0%
 
4233140812.0%
 

1969Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16034555.45
Minimum1250224
Maximum95181576
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:38.465975image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1250224
5-th percentile1859426
Q13674410
median8755092
Q317706294
95-th percentile48265540
Maximum95181576
Range93931352
Interquartile range (IQR)14031884

Descriptive statistics

Standard deviation19694665.39
Coefficient of variation (CV)1.228263886
Kurtosis6.935223399
Mean16034555.45
Median Absolute Deviation (MAD)6303920
Skewness2.488082874
Sum817762328
Variance3.87879845e+14
MonotocityNot monotonic
2020-11-24T21:52:38.586099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
385266812.0%
 
1795606812.0%
 
527557212.0%
 
125022412.0%
 
1006544812.0%
 
3385194812.0%
 
800845612.0%
 
1969706412.0%
 
1461282812.0%
 
8626998412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
125022412.0%
 
156128812.0%
 
164805212.0%
 
207080012.0%
 
217304412.0%
 
ValueCountFrequency (%) 
9518157612.0%
 
8626998412.0%
 
4985309612.0%
 
4667798412.0%
 
4314312012.0%
 

1970Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16257757.88
Minimum1284420
Maximum96730148
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:38.714355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1284420
5-th percentile1912864
Q13788532
median9050992
Q318178102
95-th percentile48942366
Maximum96730148
Range95445728
Interquartile range (IQR)14389570

Descriptive statistics

Standard deviation19944642.16
Coefficient of variation (CV)1.226776921
Kurtosis7.055532286
Mean16257757.88
Median Absolute Deviation (MAD)6511932
Skewness2.506133571
Sum829145652
Variance3.977887508e+14
MonotocityNot monotonic
2020-11-24T21:52:38.837111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
403389212.0%
 
1528599612.0%
 
1853510012.0%
 
893311612.0%
 
5050102812.0%
 
1025093612.0%
 
821216412.0%
 
253906012.0%
 
534245212.0%
 
340651212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
128442012.0%
 
159876412.0%
 
174339612.0%
 
208233212.0%
 
218973612.0%
 
ValueCountFrequency (%) 
9673014812.0%
 
8754980412.0%
 
5050102812.0%
 
4738370412.0%
 
4335845212.0%
 

1970Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16654978.59
Minimum1321136
Maximum98910108
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:38.964614image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1321136
5-th percentile1892368
Q13835588
median9257880
Q318644216
95-th percentile49795764
Maximum98910108
Range97588972
Interquartile range (IQR)14808628

Descriptive statistics

Standard deviation20427520.2
Coefficient of variation (CV)1.226511346
Kurtosis7.049870438
Mean16654978.59
Median Absolute Deviation (MAD)6658792
Skewness2.503921382
Sum849403908
Variance4.172835815e+14
MonotocityNot monotonic
2020-11-24T21:52:39.088162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4384593612.0%
 
9891010812.0%
 
8995090812.0%
 
1712466412.0%
 
4208338012.0%
 
1566329212.0%
 
296426812.0%
 
259908812.0%
 
1983530812.0%
 
1745684812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
132113612.0%
 
163502012.0%
 
175663212.0%
 
202810412.0%
 
225470812.0%
 
ValueCountFrequency (%) 
9891010812.0%
 
8995090812.0%
 
5094305612.0%
 
4864847212.0%
 
4384593612.0%
 

1970Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16976297.25
Minimum1363464
Maximum100522880
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:39.211763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1363464
5-th percentile1958858
Q14000480
median9630100
Q319070312
95-th percentile50796382
Maximum100522880
Range99159416
Interquartile range (IQR)15069832

Descriptive statistics

Standard deviation20756710.33
Coefficient of variation (CV)1.222687728
Kurtosis7.02734254
Mean16976297.25
Median Absolute Deviation (MAD)6717172
Skewness2.500362064
Sum865791160
Variance4.308410237e+14
MonotocityNot monotonic
2020-11-24T21:52:39.337507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
725183612.0%
 
265410412.0%
 
587294012.0%
 
5219613612.0%
 
963010012.0%
 
261904412.0%
 
9135829612.0%
 
4290128012.0%
 
575061212.0%
 
211484412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
136346412.0%
 
166690812.0%
 
180287212.0%
 
211484412.0%
 
229164412.0%
 
ValueCountFrequency (%) 
10052288012.0%
 
9135829612.0%
 
5219613612.0%
 
4939662812.0%
 
4458591612.0%
 

1970Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17175907.45
Minimum1394860
Maximum101599584
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:39.456931image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1394860
5-th percentile2019708
Q14046600
median9851912
Q319352912
95-th percentile51374398
Maximum101599584
Range100204724
Interquartile range (IQR)15306312

Descriptive statistics

Standard deviation20914443.7
Coefficient of variation (CV)1.217661644
Kurtosis7.035734949
Mean17175907.45
Median Absolute Deviation (MAD)6982112
Skewness2.49974477
Sum875971280
Variance4.374139552e+14
MonotocityNot monotonic
2020-11-24T21:52:39.577769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1799688412.0%
 
1979642812.0%
 
303826812.0%
 
231398012.0%
 
596789212.0%
 
439301212.0%
 
1591525212.0%
 
747860012.0%
 
1087446412.0%
 
139486012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
139486012.0%
 
169725212.0%
 
184577612.0%
 
219364012.0%
 
231398012.0%
 
ValueCountFrequency (%) 
10159958412.0%
 
9180175212.0%
 
5291928812.0%
 
4982950812.0%
 
4469524012.0%
 

1971Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17536773.8
Minimum1426556
Maximum102962580
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:39.696763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1426556
5-th percentile2078946
Q14118146
median10199792
Q319862696
95-th percentile51880488
Maximum102962580
Range101536024
Interquartile range (IQR)15744550

Descriptive statistics

Standard deviation21309176.08
Coefficient of variation (CV)1.215113813
Kurtosis6.983071614
Mean17536773.8
Median Absolute Deviation (MAD)7100980
Skewness2.490784726
Sum894375464
Variance4.540809851e+14
MonotocityNot monotonic
2020-11-24T21:52:39.826332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1111188412.0%
 
235586812.0%
 
933275612.0%
 
227745212.0%
 
420254812.0%
 
2707627212.0%
 
2035190012.0%
 
369278412.0%
 
2053905212.0%
 
3052524812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
142655612.0%
 
172947612.0%
 
188044012.0%
 
227745212.0%
 
235586812.0%
 
ValueCountFrequency (%) 
10296258012.0%
 
9420129212.0%
 
5334478012.0%
 
5041619612.0%
 
4553088012.0%
 

1971Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18003767.22
Minimum1466536
Maximum104985072
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:39.946431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1466536
5-th percentile2170652
Q14205784
median10623976
Q320437362
95-th percentile53399778
Maximum104985072
Range103518536
Interquartile range (IQR)16231578

Descriptive statistics

Standard deviation21762229.05
Coefficient of variation (CV)1.208759744
Kurtosis6.840950741
Mean18003767.22
Median Absolute Deviation (MAD)7421228
Skewness2.467142194
Sum918192128
Variance4.735946132e+14
MonotocityNot monotonic
2020-11-24T21:52:40.073627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
146653612.0%
 
5157162012.0%
 
4566661612.0%
 
2126847212.0%
 
3782655212.0%
 
2767557212.0%
 
1255428012.0%
 
423468012.0%
 
1784580012.0%
 
3160337212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
146653612.0%
 
177551212.0%
 
194143212.0%
 
239987212.0%
 
241602012.0%
 
ValueCountFrequency (%) 
10498507212.0%
 
9582060412.0%
 
5522793612.0%
 
5157162012.0%
 
4699492012.0%
 

1971Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18279712.86
Minimum1510564
Maximum106743428
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:40.196124image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1510564
5-th percentile2225904
Q14327118
median10760444
Q320727982
95-th percentile54096058
Maximum106743428
Range105232864
Interquartile range (IQR)16400864

Descriptive statistics

Standard deviation22055688.03
Coefficient of variation (CV)1.206566438
Kurtosis6.875514985
Mean18279712.86
Median Absolute Deviation (MAD)7465956
Skewness2.470439415
Sum932265356
Variance4.864533745e+14
MonotocityNot monotonic
2020-11-24T21:52:40.319041image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5602323612.0%
 
1183004812.0%
 
388311212.0%
 
617157212.0%
 
252033612.0%
 
5216888012.0%
 
464277212.0%
 
286814012.0%
 
831252812.0%
 
180381612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
151056412.0%
 
180381612.0%
 
200128812.0%
 
245052012.0%
 
252033612.0%
 
ValueCountFrequency (%) 
10674342812.0%
 
9692808812.0%
 
5602323612.0%
 
5216888012.0%
 
4725156812.0%
 

1971Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18647510.82
Minimum1554348
Maximum109330908
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:40.439505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1554348
5-th percentile2316128
Q14437352
median11031996
Q321117006
95-th percentile55099118
Maximum109330908
Range107776560
Interquartile range (IQR)16679654

Descriptive statistics

Standard deviation22510343.29
Coefficient of variation (CV)1.207150032
Kurtosis6.921923415
Mean18647510.82
Median Absolute Deviation (MAD)7715292
Skewness2.476931587
Sum951023052
Variance5.067155552e+14
MonotocityNot monotonic
2020-11-24T21:52:40.564328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9862339612.0%
 
4718364812.0%
 
398508012.0%
 
290513612.0%
 
1858371212.0%
 
297285212.0%
 
1947837212.0%
 
1294110412.0%
 
1939861212.0%
 
155434812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
155434812.0%
 
183386812.0%
 
205397612.0%
 
257828012.0%
 
262053212.0%
 
ValueCountFrequency (%) 
10933090812.0%
 
9862339612.0%
 
5719677212.0%
 
5300146412.0%
 
4801261212.0%
 

1972Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19159748.63
Minimum1600176
Maximum112153923
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:40.685846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1600176
5-th percentile2340428
Q14582916
median11452720
Q321587704
95-th percentile56603134
Maximum112153923
Range110553747
Interquartile range (IQR)17004788

Descriptive statistics

Standard deviation22970977.11
Coefficient of variation (CV)1.198918501
Kurtosis6.787971295
Mean19159748.63
Median Absolute Deviation (MAD)7961732
Skewness2.45051184
Sum977147180
Variance5.276657893e+14
MonotocityNot monotonic
2020-11-24T21:52:40.806458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
727054012.0%
 
349098812.0%
 
1242025612.0%
 
2297310812.0%
 
1320978812.0%
 
461014012.0%
 
1746244812.0%
 
262033212.0%
 
4895708012.0%
 
3477636012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
160017612.0%
 
191468412.0%
 
206308012.0%
 
261777612.0%
 
262033212.0%
 
ValueCountFrequency (%) 
11215392312.0%
 
9919420412.0%
 
5831752812.0%
 
5488874012.0%
 
4946919612.0%
 

1972Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19530318.67
Minimum1631904
Maximum113983619
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:40.930091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1631904
5-th percentile2289638
Q14638192
median11710304
Q322083314
95-th percentile57417226
Maximum113983619
Range112351715
Interquartile range (IQR)17445122

Descriptive statistics

Standard deviation23402667.5
Coefficient of variation (CV)1.198273715
Kurtosis6.782089303
Mean19530318.67
Median Absolute Deviation (MAD)8207088
Skewness2.449512639
Sum996046252
Variance5.476848459e+14
MonotocityNot monotonic
2020-11-24T21:52:41.049948image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
249958012.0%
 
316586012.0%
 
495248412.0%
 
460972012.0%
 
4412722412.0%
 
2038235212.0%
 
685650012.0%
 
316408012.0%
 
3582686012.0%
 
466666412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
163190412.0%
 
193278012.0%
 
207969612.0%
 
249958012.0%
 
272805612.0%
 
ValueCountFrequency (%) 
11398361912.0%
 
10153088012.0%
 
5920572012.0%
 
5562873212.0%
 
5012712412.0%
 

1972Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20043633.1
Minimum1691012
Maximum117536179
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:41.166765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1691012
5-th percentile2523496
Q14707348
median12199976
Q322607122
95-th percentile58573720
Maximum117536179
Range115845167
Interquartile range (IQR)17899774

Descriptive statistics

Standard deviation24009793.81
Coefficient of variation (CV)1.197876337
Kurtosis6.906565875
Mean20043633.1
Median Absolute Deviation (MAD)8469176
Skewness2.467886913
Sum1022225288
Variance5.764701986e+14
MonotocityNot monotonic
2020-11-24T21:52:41.286738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
773606012.0%
 
2388253212.0%
 
1085957212.0%
 
11753617912.0%
 
492689612.0%
 
467766412.0%
 
197956412.0%
 
2169516412.0%
 
1117418012.0%
 
316919212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
169101212.0%
 
197956412.0%
 
216259212.0%
 
288440012.0%
 
301533612.0%
 
ValueCountFrequency (%) 
11753617912.0%
 
10412528012.0%
 
6030439212.0%
 
5684304812.0%
 
5127743212.0%
 

1972Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20915397.65
Minimum1776460
Maximum121748531
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:41.404183image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1776460
5-th percentile2750740
Q14915662
median12863192
Q323448156
95-th percentile60758468
Maximum121748531
Range119972071
Interquartile range (IQR)18532494

Descriptive statistics

Standard deviation24870009.11
Coefficient of variation (CV)1.189076561
Kurtosis6.814676228
Mean20915397.65
Median Absolute Deviation (MAD)8713740
Skewness2.450894669
Sum1066685280
Variance6.185173532e+14
MonotocityNot monotonic
2020-11-24T21:52:41.528500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1102338812.0%
 
488220412.0%
 
10761121212.0%
 
12174853112.0%
 
369758412.0%
 
342417212.0%
 
5871735212.0%
 
1136530412.0%
 
1934787612.0%
 
762177612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
177646012.0%
 
205266412.0%
 
228806412.0%
 
321341612.0%
 
327922412.0%
 
ValueCountFrequency (%) 
12174853112.0%
 
10761121212.0%
 
6279958412.0%
 
5871735212.0%
 
5373964412.0%
 

1973Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21281559.22
Minimum1810272
Maximum122865659
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:41.646691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1810272
5-th percentile2801770
Q14908156
median13028760
Q324114394
95-th percentile62150102
Maximum122865659
Range121055387
Interquartile range (IQR)19206238

Descriptive statistics

Standard deviation25170770.73
Coefficient of variation (CV)1.182750309
Kurtosis6.571637494
Mean21281559.22
Median Absolute Deviation (MAD)8966352
Skewness2.409101162
Sum1085359520
Variance6.335676994e+14
MonotocityNot monotonic
2020-11-24T21:52:41.771654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
352703612.0%
 
2321331212.0%
 
10795405612.0%
 
340319212.0%
 
2501547612.0%
 
3177095212.0%
 
5453841612.0%
 
1893461612.0%
 
706679612.0%
 
1386562412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
181027212.0%
 
208704412.0%
 
237413212.0%
 
322940812.0%
 
331010012.0%
 
ValueCountFrequency (%) 
12286565912.0%
 
10795405612.0%
 
6426555612.0%
 
6003464812.0%
 
5453841612.0%
 

1973Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21875339.37
Minimum1921556
Maximum126362543
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:41.895166image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1921556
5-th percentile2929754
Q15102850
median13564780
Q324519418
95-th percentile63649744
Maximum126362543
Range124440987
Interquartile range (IQR)19416568

Descriptive statistics

Standard deviation25695672.18
Coefficient of variation (CV)1.174641076
Kurtosis6.55446935
Mean21875339.37
Median Absolute Deviation (MAD)9093084
Skewness2.401805871
Sum1115642308
Variance6.602675688e+14
MonotocityNot monotonic
2020-11-24T21:52:42.019895image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
514568412.0%
 
214109212.0%
 
243410412.0%
 
1069470412.0%
 
551480512.0%
 
1920530012.0%
 
394062412.0%
 
1532280012.0%
 
12636254312.0%
 
860727212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
192155612.0%
 
214109212.0%
 
243410412.0%
 
342540412.0%
 
351564412.0%
 
ValueCountFrequency (%) 
12636254312.0%
 
10883319212.0%
 
6607268812.0%
 
6122680012.0%
 
5695383612.0%
 

1973Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22418411.37
Minimum1971424
Maximum128904951
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:42.142434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1971424
5-th percentile3025306
Q15186070
median13983780
Q324994882
95-th percentile65054594
Maximum128904951
Range126933527
Interquartile range (IQR)19808812

Descriptive statistics

Standard deviation26153190.18
Coefficient of variation (CV)1.166594267
Kurtosis6.455213822
Mean22418411.37
Median Absolute Deviation (MAD)9306688
Skewness2.381570492
Sum1143338980
Variance6.839893566e+14
MonotocityNot monotonic
2020-11-24T21:52:42.267222image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
740056012.0%
 
4377988012.0%
 
1610144812.0%
 
2752358812.0%
 
5712480412.0%
 
2427126012.0%
 
3290169612.0%
 
10978809212.0%
 
1939858412.0%
 
1574469212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
197142412.0%
 
217943212.0%
 
253039212.0%
 
352022012.0%
 
359760412.0%
 
ValueCountFrequency (%) 
12890495112.0%
 
10978809212.0%
 
6773709212.0%
 
6237209612.0%
 
5896609212.0%
 

1973Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23147278.27
Minimum2117096
Maximum132413591
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:42.383763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2117096
5-th percentile3103776
Q15280392
median14521144
Q325809522
95-th percentile67034420
Maximum132413591
Range130296495
Interquartile range (IQR)20529130

Descriptive statistics

Standard deviation26797333.65
Coefficient of variation (CV)1.157688318
Kurtosis6.418437422
Mean23147278.27
Median Absolute Deviation (MAD)9709788
Skewness2.373447708
Sum1180511192
Variance7.180970907e+14
MonotocityNot monotonic
2020-11-24T21:52:42.512156image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6108572412.0%
 
2020482812.0%
 
2271840012.0%
 
1452114412.0%
 
259378412.0%
 
1686290012.0%
 
894558412.0%
 
4507896812.0%
 
6401360412.0%
 
11198195612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
211709612.0%
 
223380412.0%
 
259378412.0%
 
361376812.0%
 
377790412.0%
 
ValueCountFrequency (%) 
13241359112.0%
 
11198195612.0%
 
7005523612.0%
 
6401360412.0%
 
6108572412.0%
 

1974Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23478136.94
Minimum2194400
Maximum136086239
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:42.629366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2194400
5-th percentile3117712
Q15393834
median14883708
Q326257890
95-th percentile68059662
Maximum136086239
Range133891839
Interquartile range (IQR)20864056

Descriptive statistics

Standard deviation27350377.93
Coefficient of variation (CV)1.164929653
Kurtosis6.57962909
Mean23478136.94
Median Absolute Deviation (MAD)9844460
Skewness2.397082117
Sum1197384984
Variance7.480431727e+14
MonotocityNot monotonic
2020-11-24T21:52:42.755386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
429061612.0%
 
1271936012.0%
 
901292012.0%
 
2440978012.0%
 
511650812.0%
 
1523704012.0%
 
2668534012.0%
 
2261662012.0%
 
2829691212.0%
 
359223212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
219440012.0%
 
224470012.0%
 
264319212.0%
 
359223212.0%
 
383349212.0%
 
ValueCountFrequency (%) 
13608623912.0%
 
11352534012.0%
 
7085979212.0%
 
6525953212.0%
 
6238980812.0%
 

1974Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23995302.67
Minimum2234944
Maximum140333027
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:42.882315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2234944
5-th percentile3213054
Q15509042
median15202352
Q326894212
95-th percentile69410684
Maximum140333027
Range138098083
Interquartile range (IQR)21385170

Descriptive statistics

Standard deviation28129897.57
Coefficient of variation (CV)1.172308512
Kurtosis6.705055325
Mean23995302.67
Median Absolute Deviation (MAD)10064548
Skewness2.416438818
Sum1223760436
Variance7.912911373e+14
MonotocityNot monotonic
2020-11-24T21:52:42.997735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
231344012.0%
 
832374812.0%
 
2758610412.0%
 
1520235212.0%
 
1376351612.0%
 
566751212.0%
 
513026012.0%
 
1297216412.0%
 
2907205212.0%
 
1296324812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
223494412.0%
 
231344012.0%
 
287641612.0%
 
354969212.0%
 
368332012.0%
 
ValueCountFrequency (%) 
14033302712.0%
 
11684212812.0%
 
7170688412.0%
 
6711448412.0%
 
6404002812.0%
 

1974Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24715750.98
Minimum2301856
Maximum144780739
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:43.120244image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2301856
5-th percentile3322450
Q15624996
median15673980
Q327588538
95-th percentile71642464
Maximum144780739
Range142478883
Interquartile range (IQR)21963542

Descriptive statistics

Standard deviation28972855.33
Coefficient of variation (CV)1.172242565
Kurtosis6.692312389
Mean24715750.98
Median Absolute Deviation (MAD)10350928
Skewness2.413474882
Sum1260503300
Variance8.394263461e+14
MonotocityNot monotonic
2020-11-24T21:52:43.241650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
354098812.0%
 
1340253212.0%
 
412250412.0%
 
236946412.0%
 
952401212.0%
 
596984012.0%
 
982750012.0%
 
1567398012.0%
 
310391212.0%
 
6640120012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
230185612.0%
 
236946412.0%
 
310391212.0%
 
354098812.0%
 
363710812.0%
 
ValueCountFrequency (%) 
14478073912.0%
 
11965114012.0%
 
7424999212.0%
 
6903493612.0%
 
6640120012.0%
 

1974Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25256534.9
Minimum2419024
Maximum148088155
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:43.365552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2419024
5-th percentile3476652
Q15724860
median15964308
Q328157002
95-th percentile73530426
Maximum148088155
Range145669131
Interquartile range (IQR)22432142

Descriptive statistics

Standard deviation29616603.85
Coefficient of variation (CV)1.17263132
Kurtosis6.719734135
Mean25256534.9
Median Absolute Deviation (MAD)10581868
Skewness2.419069641
Sum1288083280
Variance8.771432236e+14
MonotocityNot monotonic
2020-11-24T21:52:43.481643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6825173212.0%
 
1691446412.0%
 
986899612.0%
 
2716588412.0%
 
3637278812.0%
 
389266412.0%
 
2322437212.0%
 
7061047612.0%
 
1366684812.0%
 
578999212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
241902412.0%
 
242003212.0%
 
342440412.0%
 
352890012.0%
 
389266412.0%
 
ValueCountFrequency (%) 
14808815512.0%
 
12229310012.0%
 
7645037612.0%
 
7061047612.0%
 
6825173212.0%
 

1975Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25658415.69
Minimum2444964
Maximum151255251
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:43.602159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2444964
5-th percentile3797048
Q15894100
median16247440
Q328370062
95-th percentile74682514
Maximum151255251
Range148810287
Interquartile range (IQR)22475962

Descriptive statistics

Standard deviation30113346
Coefficient of variation (CV)1.173624528
Kurtosis6.821022286
Mean25658415.69
Median Absolute Deviation (MAD)10814032
Skewness2.434764402
Sum1308579200
Variance9.068136075e+14
MonotocityNot monotonic
2020-11-24T21:52:43.720452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2706147212.0%
 
2093809612.0%
 
1673915212.0%
 
5084690412.0%
 
2375442012.0%
 
459862812.0%
 
888286412.0%
 
547938012.0%
 
1881456012.0%
 
2722474412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
244496412.0%
 
247497212.0%
 
375767612.0%
 
383642012.0%
 
391525612.0%
 
ValueCountFrequency (%) 
15125525112.0%
 
12382214412.0%
 
7753250812.0%
 
7183252012.0%
 
7085240012.0%
 

1975Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26293666.04
Minimum2510400
Maximum155323439
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:43.841981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2510400
5-th percentile3947410
Q16118730
median16784212
Q329111828
95-th percentile76132496
Maximum155323439
Range152813039
Interquartile range (IQR)22993098

Descriptive statistics

Standard deviation30832564.53
Coefficient of variation (CV)1.172623265
Kurtosis6.899330252
Mean26293666.04
Median Absolute Deviation (MAD)11135224
Skewness2.445512272
Sum1340976968
Variance9.506470355e+14
MonotocityNot monotonic
2020-11-24T21:52:43.958922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1767910012.0%
 
3066576812.0%
 
2840456012.0%
 
473272812.0%
 
7300197612.0%
 
2426587212.0%
 
1292792412.0%
 
1720853612.0%
 
971025612.0%
 
15532343912.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
251040012.0%
 
254926812.0%
 
394065612.0%
 
395416412.0%
 
398323212.0%
 
ValueCountFrequency (%) 
15532343912.0%
 
12674396412.0%
 
7904042812.0%
 
7322456412.0%
 
7300197612.0%
 

1975Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27018120.24
Minimum2583864
Maximum159314251
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:44.086585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2583864
5-th percentile4085210
Q16310958
median17318052
Q329889444
95-th percentile78196050
Maximum159314251
Range156730387
Interquartile range (IQR)23578486

Descriptive statistics

Standard deviation31538903.5
Coefficient of variation (CV)1.167324123
Kurtosis6.87409895
Mean27018120.24
Median Absolute Deviation (MAD)11545188
Skewness2.43804757
Sum1377924132
Variance9.947024342e+14
MonotocityNot monotonic
2020-11-24T21:52:44.208136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
459873212.0%
 
7540019612.0%
 
632210812.0%
 
6670207612.0%
 
5325138412.0%
 
629980812.0%
 
1512517212.0%
 
408260812.0%
 
698026912.0%
 
3050743612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
258386412.0%
 
263417612.0%
 
408260812.0%
 
408781212.0%
 
421464812.0%
 
ValueCountFrequency (%) 
15931425112.0%
 
12874293212.0%
 
8099190412.0%
 
7540019612.0%
 
7511206812.0%
 

1975Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27696307.84
Minimum2676688
Maximum163529191
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:45.110920image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2676688
5-th percentile4175018
Q16438694
median17680396
Q330812442
95-th percentile80348836
Maximum163529191
Range160852503
Interquartile range (IQR)24373748

Descriptive statistics

Standard deviation32259461.65
Coefficient of variation (CV)1.164756755
Kurtosis6.862021857
Mean27696307.84
Median Absolute Deviation (MAD)11780004
Skewness2.43161206
Sum1412511700
Variance1.040672866e+15
MonotocityNot monotonic
2020-11-24T21:52:45.228496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
13033895612.0%
 
6851535212.0%
 
1513054412.0%
 
503664012.0%
 
648938812.0%
 
469226012.0%
 
681821612.0%
 
6019015612.0%
 
413853212.0%
 
2893727612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
267668812.0%
 
271263612.0%
 
413853212.0%
 
421150412.0%
 
433387612.0%
 
ValueCountFrequency (%) 
16352919112.0%
 
13033895612.0%
 
8273993612.0%
 
7795773612.0%
 
7705660012.0%
 

1976Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28352172.08
Minimum2739364
Maximum167857182
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:45.351906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2739364
5-th percentile4120450
Q16495522
median18140564
Q331446046
95-th percentile82646840
Maximum167857182
Range165117818
Interquartile range (IQR)24950524

Descriptive statistics

Standard deviation33003980.54
Coefficient of variation (CV)1.164072384
Kurtosis6.882049172
Mean28352172.08
Median Absolute Deviation (MAD)12054420
Skewness2.431184867
Sum1445960776
Variance1.089262732e+15
MonotocityNot monotonic
2020-11-24T21:52:45.468131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
521689212.0%
 
1144809612.0%
 
705321212.0%
 
2136426412.0%
 
2998212412.0%
 
277058412.0%
 
406304012.0%
 
2628381612.0%
 
1814056412.0%
 
7868257212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
273936412.0%
 
277058412.0%
 
406304012.0%
 
417786012.0%
 
426558812.0%
 
ValueCountFrequency (%) 
16785718212.0%
 
13222480412.0%
 
8460345612.0%
 
8069022412.0%
 
7868257212.0%
 

1976Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28838568.47
Minimum2795524
Maximum172103310
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:45.591922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2795524
5-th percentile4049328
Q16629176
median18468576
Q331995900
95-th percentile83957688
Maximum172103310
Range169307786
Interquartile range (IQR)25366724

Descriptive statistics

Standard deviation33599513.31
Coefficient of variation (CV)1.1650895
Kurtosis7.008676257
Mean28838568.47
Median Absolute Deviation (MAD)12201616
Skewness2.444268478
Sum1470766992
Variance1.128927294e+15
MonotocityNot monotonic
2020-11-24T21:52:45.707304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1553723612.0%
 
279552412.0%
 
438303612.0%
 
3520486012.0%
 
396895212.0%
 
2410706012.0%
 
2196402012.0%
 
13306654412.0%
 
7158890812.0%
 
645604412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
279552412.0%
 
279904412.0%
 
396895212.0%
 
412970412.0%
 
438303612.0%
 
ValueCountFrequency (%) 
17210331012.0%
 
13306654412.0%
 
8575246412.0%
 
8216291212.0%
 
7995607212.0%
 

1976Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29562904
Minimum2881616
Maximum177080994
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:45.837818image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2881616
5-th percentile3911556
Q16806340
median18863408
Q332914774
95-th percentile86264770
Maximum177080994
Range174199378
Interquartile range (IQR)26108434

Descriptive statistics

Standard deviation34507757.49
Coefficient of variation (CV)1.167265486
Kurtosis7.069329275
Mean29562904
Median Absolute Deviation (MAD)12351556
Skewness2.452387464
Sum1507708104
Variance1.190785327e+15
MonotocityNot monotonic
2020-11-24T21:52:45.977843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3336306812.0%
 
17708099412.0%
 
662410012.0%
 
1886340812.0%
 
8768814812.0%
 
1971575612.0%
 
443771212.0%
 
481988012.0%
 
8484139212.0%
 
1741824412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
288161612.0%
 
289922012.0%
 
377116812.0%
 
405194412.0%
 
443771212.0%
 
ValueCountFrequency (%) 
17708099412.0%
 
13641494012.0%
 
8768814812.0%
 
8484139212.0%
 
8212744012.0%
 

1976Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30227218.2
Minimum2923188
Maximum180929670
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:46.131231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2923188
5-th percentile4061202
Q16980256
median19371728
Q333371408
95-th percentile88340664
Maximum180929670
Range178006482
Interquartile range (IQR)26391152

Descriptive statistics

Standard deviation35177387.35
Coefficient of variation (CV)1.16376529
Kurtosis7.042062156
Mean30227218.2
Median Absolute Deviation (MAD)12724540
Skewness2.443869785
Sum1541588128
Variance1.237448581e+15
MonotocityNot monotonic
2020-11-24T21:52:46.266923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1738262412.0%
 
3694396012.0%
 
5944631212.0%
 
2096888012.0%
 
1622318812.0%
 
2529732412.0%
 
1937172812.0%
 
8707968812.0%
 
640080812.0%
 
2309358412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
292318812.0%
 
301658012.0%
 
401301212.0%
 
410939212.0%
 
456605612.0%
 
ValueCountFrequency (%) 
18092967012.0%
 
13778246012.0%
 
8960164012.0%
 
8707968812.0%
 
8355988812.0%
 

1977Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30832654.98
Minimum2937704
Maximum184608848
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:46.411760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2937704
5-th percentile4149360
Q17042606
median19669076
Q333843896
95-th percentile90151228
Maximum184608848
Range181671144
Interquartile range (IQR)26801290

Descriptive statistics

Standard deviation35880738.47
Coefficient of variation (CV)1.163725229
Kurtosis7.048069108
Mean30832654.98
Median Absolute Deviation (MAD)13005824
Skewness2.444421847
Sum1572465404
Variance1.287427393e+15
MonotocityNot monotonic
2020-11-24T21:52:46.563175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3267490012.0%
 
2060138012.0%
 
454232412.0%
 
9170309212.0%
 
393827612.0%
 
6825708812.0%
 
309731212.0%
 
3142790012.0%
 
3770270812.0%
 
1554231612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
293770412.0%
 
309731212.0%
 
393827612.0%
 
436044412.0%
 
454232412.0%
 
ValueCountFrequency (%) 
18460884812.0%
 
14044428412.0%
 
9170309212.0%
 
8859936412.0%
 
8534368412.0%
 

1977Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31785728.08
Minimum3026896
Maximum190554172
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:46.725024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3026896
5-th percentile4136630
Q17278844
median20423508
Q334847608
95-th percentile92989310
Maximum190554172
Range187527276
Interquartile range (IQR)27568764

Descriptive statistics

Standard deviation36993826.62
Coefficient of variation (CV)1.16385022
Kurtosis7.028912108
Mean31785728.08
Median Absolute Deviation (MAD)13562736
Skewness2.438361555
Sum1621072132
Variance1.368543208e+15
MonotocityNot monotonic
2020-11-24T21:52:46.866292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
796176812.0%
 
1838170812.0%
 
14381401612.0%
 
426871612.0%
 
604020012.0%
 
7082218012.0%
 
6283626412.0%
 
7912795612.0%
 
569121612.0%
 
575693212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
302689612.0%
 
326064812.0%
 
400454412.0%
 
426871612.0%
 
468532412.0%
 
ValueCountFrequency (%) 
19055417212.0%
 
14381401612.0%
 
9438889212.0%
 
9158972812.0%
 
8790472012.0%
 

1977Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32707324.39
Minimum3109332
Maximum195503276
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:47.010707image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3109332
5-th percentile4309144
Q17470246
median21158280
Q335765936
95-th percentile95647670
Maximum195503276
Range192393944
Interquartile range (IQR)28295690

Descriptive statistics

Standard deviation38004003.21
Coefficient of variation (CV)1.161941673
Kurtosis6.944802277
Mean32707324.39
Median Absolute Deviation (MAD)14163568
Skewness2.424320397
Sum1668073544
Variance1.44430426e+15
MonotocityNot monotonic
2020-11-24T21:52:47.145323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
531640012.0%
 
8196622412.0%
 
1274726012.0%
 
2752338412.0%
 
6353208012.0%
 
782753212.0%
 
3019320412.0%
 
6527172812.0%
 
9660050412.0%
 
19550327612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
310933212.0%
 
344280812.0%
 
417135612.0%
 
444693212.0%
 
480511612.0%
 
ValueCountFrequency (%) 
19550327612.0%
 
14728211612.0%
 
9660050412.0%
 
9469483612.0%
 
9028800412.0%
 

1977Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33848253.33
Minimum3247560
Maximum203684948
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:47.273773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3247560
5-th percentile4886006
Q17729410
median22237640
Q336916152
95-th percentile98978400
Maximum203684948
Range200437388
Interquartile range (IQR)29186742

Descriptive statistics

Standard deviation39230987.82
Coefficient of variation (CV)1.159025473
Kurtosis7.180766933
Mean33848253.33
Median Absolute Deviation (MAD)14875284
Skewness2.453503917
Sum1726260920
Variance1.539070405e+15
MonotocityNot monotonic
2020-11-24T21:52:47.400094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20368494812.0%
 
706922012.0%
 
1835474412.0%
 
884752012.0%
 
3556704012.0%
 
1182294812.0%
 
1846814412.0%
 
4047210412.0%
 
1748702012.0%
 
2224597212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
324756012.0%
 
358645212.0%
 
486429612.0%
 
490771612.0%
 
496430412.0%
 
ValueCountFrequency (%) 
20368494812.0%
 
15080172812.0%
 
9945494012.0%
 
9850186012.0%
 
9235880812.0%
 

1978Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34651857.57
Minimum3362844
Maximum210751276
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:47.552092image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3362844
5-th percentile4990662
Q17878948
median22723228
Q337846986
95-th percentile101443084
Maximum210751276
Range207388432
Interquartile range (IQR)29968038

Descriptive statistics

Standard deviation40268377.3
Coefficient of variation (CV)1.162084232
Kurtosis7.411112063
Mean34651857.57
Median Absolute Deviation (MAD)15218756
Skewness2.480916304
Sum1767244736
Variance1.62154221e+15
MonotocityNot monotonic
2020-11-24T21:52:47.686069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
336284412.0%
 
7697132012.0%
 
713850812.0%
 
676365212.0%
 
1894827612.0%
 
1406687612.0%
 
21075127612.0%
 
909332412.0%
 
4105686412.0%
 
1789290812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
336284412.0%
 
374154812.0%
 
496596812.0%
 
501535612.0%
 
508367212.0%
 
ValueCountFrequency (%) 
21075127612.0%
 
15327878812.0%
 
10163675212.0%
 
10124941612.0%
 
9401567212.0%
 

1978Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35807200.24
Minimum3486820
Maximum217563828
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:47.821583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3486820
5-th percentile5088872
Q18138164
median23632764
Q339062706
95-th percentile105107364
Maximum217563828
Range214077008
Interquartile range (IQR)30924542

Descriptive statistics

Standard deviation41491945.31
Coefficient of variation (CV)1.158759832
Kurtosis7.421353149
Mean35807200.24
Median Absolute Deviation (MAD)15572540
Skewness2.479753629
Sum1826167212
Variance1.721581526e+15
MonotocityNot monotonic
2020-11-24T21:52:47.961723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
10434579612.0%
 
698077212.0%
 
741338812.0%
 
515820412.0%
 
6886578812.0%
 
757085212.0%
 
3920530412.0%
 
21756382812.0%
 
514205612.0%
 
3892010812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
348682012.0%
 
393788812.0%
 
503568812.0%
 
514205612.0%
 
515820412.0%
 
ValueCountFrequency (%) 
21756382812.0%
 
15700371612.0%
 
10586893212.0%
 
10434579612.0%
 
9707751612.0%
 

1978Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36854143.14
Minimum3591932
Maximum223322808
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:48.107730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3591932
5-th percentile5124798
Q18398114
median24529660
Q340147862
95-th percentile108499770
Maximum223322808
Range219730876
Interquartile range (IQR)31749748

Descriptive statistics

Standard deviation42594702.34
Coefficient of variation (CV)1.155764284
Kurtosis7.356401431
Mean36854143.14
Median Absolute Deviation (MAD)15714664
Skewness2.467226506
Sum1879561300
Variance1.814308668e+15
MonotocityNot monotonic
2020-11-24T21:52:48.248259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
912178812.0%
 
1494118012.0%
 
1504644412.0%
 
9004574412.0%
 
611575612.0%
 
3856962412.0%
 
2169373212.0%
 
4989787612.0%
 
7579203612.0%
 
514166412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
359193212.0%
 
408025612.0%
 
510793212.0%
 
514166412.0%
 
517060412.0%
 
ValueCountFrequency (%) 
22332280812.0%
 
16017494012.0%
 
11013804012.0%
 
10686150012.0%
 
9954588012.0%
 

1978Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37931269.65
Minimum3685272
Maximum230454540
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:48.387530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3685272
5-th percentile5322008
Q18615440
median25422144
Q341267940
95-th percentile111393784
Maximum230454540
Range226769268
Interquartile range (IQR)32652500

Descriptive statistics

Standard deviation43795193.82
Coefficient of variation (CV)1.154593406
Kurtosis7.461702322
Mean37931269.65
Median Absolute Deviation (MAD)16152852
Skewness2.480527306
Sum1934494752
Variance1.918019002e+15
MonotocityNot monotonic
2020-11-24T21:52:48.519992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7241952412.0%
 
742671612.0%
 
4513293212.0%
 
1520645212.0%
 
1349758812.0%
 
5082244812.0%
 
926929212.0%
 
2068749612.0%
 
2978551212.0%
 
16418312812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
368527212.0%
 
423532412.0%
 
525744412.0%
 
538657212.0%
 
554951612.0%
 
ValueCountFrequency (%) 
23045454012.0%
 
16418312812.0%
 
11382409612.0%
 
10896347212.0%
 
10175104012.0%
 

1979Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39030805.18
Minimum3837296
Maximum239270912
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:48.650977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3837296
5-th percentile5308972
Q18910544
median25784432
Q342137956
95-th percentile114850658
Maximum239270912
Range235433616
Interquartile range (IQR)33227412

Descriptive statistics

Standard deviation45205909.9
Coefficient of variation (CV)1.158211051
Kurtosis7.618072111
Mean39030805.18
Median Absolute Deviation (MAD)16388396
Skewness2.496199507
Sum1990571064
Variance2.043574289e+15
MonotocityNot monotonic
2020-11-24T21:52:48.786582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2578443212.0%
 
4808106812.0%
 
3076781212.0%
 
823430012.0%
 
11819362812.0%
 
4050246812.0%
 
8626288812.0%
 
778130012.0%
 
10495936012.0%
 
5263787212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
383729612.0%
 
440517212.0%
 
529325212.0%
 
532469212.0%
 
544264012.0%
 
ValueCountFrequency (%) 
23927091212.0%
 
16709851612.0%
 
11819362812.0%
 
11150768812.0%
 
10495936012.0%
 

1979Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39818550.82
Minimum3903864
Maximum245303580
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:48.919597image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3903864
5-th percentile5329246
Q19096440
median25950280
Q342882658
95-th percentile117532624
Maximum245303580
Range241399716
Interquartile range (IQR)33786218

Descriptive statistics

Standard deviation46216246.53
Coefficient of variation (CV)1.160671234
Kurtosis7.734439667
Mean39818550.82
Median Absolute Deviation (MAD)16938044
Skewness2.51201539
Sum2030746092
Variance2.135941443e+15
MonotocityNot monotonic
2020-11-24T21:52:49.065051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3312551612.0%
 
11367020412.0%
 
10683828812.0%
 
529161212.0%
 
12139504412.0%
 
3691384012.0%
 
8306527212.0%
 
837111612.0%
 
809388412.0%
 
629776812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
390386412.0%
 
456610412.0%
 
529161212.0%
 
536688012.0%
 
556694812.0%
 
ValueCountFrequency (%) 
24530358012.0%
 
17049098812.0%
 
12139504412.0%
 
11367020412.0%
 
10683828812.0%
 

1979Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41094849.8
Minimum4020360
Maximum253743324
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:49.232653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4020360
5-th percentile5512804
Q19365662
median26647928
Q344012496
95-th percentile121718676
Maximum253743324
Range249722964
Interquartile range (IQR)34646834

Descriptive statistics

Standard deviation47733365.56
Coefficient of variation (CV)1.161541307
Kurtosis7.802911367
Mean41094849.8
Median Absolute Deviation (MAD)17420812
Skewness2.522282338
Sum2095837340
Variance2.278474187e+15
MonotocityNot monotonic
2020-11-24T21:52:49.409120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4395625212.0%
 
578884412.0%
 
1104671212.0%
 
8848158012.0%
 
4116178012.0%
 
843404812.0%
 
746936012.0%
 
4323795612.0%
 
2246545212.0%
 
822548812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
402036012.0%
 
476234012.0%
 
550893612.0%
 
551667212.0%
 
576864812.0%
 
ValueCountFrequency (%) 
25374332412.0%
 
17601030012.0%
 
12587638812.0%
 
11756096412.0%
 
10986629612.0%
 

1979Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42315088.31
Minimum4142636
Maximum261790648
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:49.543675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4142636
5-th percentile5806540
Q19641676
median26967400
Q345456962
95-th percentile125599724
Maximum261790648
Range257648012
Interquartile range (IQR)35815286

Descriptive statistics

Standard deviation49128517.13
Coefficient of variation (CV)1.161016533
Kurtosis7.879121806
Mean42315088.31
Median Absolute Deviation (MAD)18249756
Skewness2.53179379
Sum2158069504
Variance2.413611196e+15
MonotocityNot monotonic
2020-11-24T21:52:49.692744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
694262812.0%
 
11991197212.0%
 
4232032812.0%
 
2916209612.0%
 
26179064812.0%
 
13128747612.0%
 
2916318412.0%
 
5244272012.0%
 
2286993212.0%
 
772577612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
414263612.0%
 
496202012.0%
 
567198012.0%
 
594110012.0%
 
596117612.0%
 
ValueCountFrequency (%) 
26179064812.0%
 
18049975212.0%
 
13128747612.0%
 
11991197212.0%
 
11252145212.0%
 

1980Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43547177.8
Minimum4275896
Maximum271239096
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:49.831995image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4275896
5-th percentile5637048
Q110001822
median27618104
Q346724916
95-th percentile128952068
Maximum271239096
Range266963200
Interquartile range (IQR)36723094

Descriptive statistics

Standard deviation50709467.99
Coefficient of variation (CV)1.164471971
Kurtosis8.013859133
Mean43547177.8
Median Absolute Deviation (MAD)18446060
Skewness2.547283904
Sum2220906068
Variance2.571450144e+15
MonotocityNot monotonic
2020-11-24T21:52:49.974815image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2513955612.0%
 
1078541612.0%
 
4990712812.0%
 
809386812.0%
 
804213612.0%
 
9228714412.0%
 
3685976812.0%
 
537923612.0%
 
514588812.0%
 
4496975612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
427589612.0%
 
514588812.0%
 
537923612.0%
 
589486012.0%
 
590802012.0%
 
ValueCountFrequency (%) 
27123909612.0%
 
18516985612.0%
 
13554510012.0%
 
12235903612.0%
 
11534477212.0%
 

1980Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44048836
Minimum4351716
Maximum276925888
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:50.105888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4351716
5-th percentile5228934
Q110136102
median27865744
Q347595530
95-th percentile130070480
Maximum276925888
Range272574172
Interquartile range (IQR)37459428

Descriptive statistics

Standard deviation51680953.7
Coefficient of variation (CV)1.173264912
Kurtosis8.166774287
Mean44048836
Median Absolute Deviation (MAD)18601324
Skewness2.570657582
Sum2246490636
Variance2.670920976e+15
MonotocityNot monotonic
2020-11-24T21:52:50.244665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2580386012.0%
 
3062602012.0%
 
1090849612.0%
 
2428255212.0%
 
523846812.0%
 
914795612.0%
 
2308894012.0%
 
1185771212.0%
 
9165102812.0%
 
4449745212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
435171612.0%
 
519539212.0%
 
521940012.0%
 
523846812.0%
 
603936812.0%
 
ValueCountFrequency (%) 
27692588812.0%
 
18947154412.0%
 
13794323212.0%
 
12219772812.0%
 
11649019612.0%
 

1980Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45625744.55
Minimum4523912
Maximum286625024
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:50.376937image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4523912
5-th percentile5560646
Q110521498
median29737992
Q349194420
95-th percentile135391744
Maximum286625024
Range282101112
Interquartile range (IQR)38672922

Descriptive statistics

Standard deviation53424287.92
Coefficient of variation (CV)1.170924189
Kurtosis8.190839838
Mean45625744.55
Median Absolute Deviation (MAD)19760864
Skewness2.572264964
Sum2326912972
Variance2.85415454e+15
MonotocityNot monotonic
2020-11-24T21:52:50.503721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
836863612.0%
 
3848359212.0%
 
14463249612.0%
 
3005226812.0%
 
1827496812.0%
 
4625575212.0%
 
9421702412.0%
 
837405612.0%
 
559517212.0%
 
4949885612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
452391212.0%
 
499718812.0%
 
552612012.0%
 
559517212.0%
 
620843612.0%
 
ValueCountFrequency (%) 
28662502412.0%
 
19513373612.0%
 
14463249612.0%
 
12615099212.0%
 
11967248012.0%
 

1980Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47719810.27
Minimum4725748
Maximum300619612
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:50.636029image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4725748
5-th percentile6042544
Q110988158
median31169872
Q351432224
95-th percentile141398420
Maximum300619612
Range295893864
Interquartile range (IQR)40444066

Descriptive statistics

Standard deviation55823885.13
Coefficient of variation (CV)1.169826217
Kurtosis8.317791062
Mean47719810.27
Median Absolute Deviation (MAD)20753540
Skewness2.588373736
Sum2433710324
Variance3.116306151e+15
MonotocityNot monotonic
2020-11-24T21:52:50.763443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
552260012.0%
 
5387522412.0%
 
9147614412.0%
 
4939717612.0%
 
3966122812.0%
 
2806199212.0%
 
1838442012.0%
 
4953822012.0%
 
1562972812.0%
 
1626197212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
472574812.0%
 
552260012.0%
 
589450812.0%
 
619058012.0%
 
666397612.0%
 
ValueCountFrequency (%) 
30061961212.0%
 
20295474412.0%
 
15243517612.0%
 
13036166412.0%
 
12437342412.0%
 

1981Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48864464.47
Minimum4848948
Maximum307199788
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:50.898144image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4848948
5-th percentile6457622
Q111243658
median31955676
Q352482622
95-th percentile146611024
Maximum307199788
Range302350840
Interquartile range (IQR)41238964

Descriptive statistics

Standard deviation57109548.39
Coefficient of variation (CV)1.168733742
Kurtosis8.269267631
Mean48864464.47
Median Absolute Deviation (MAD)20939036
Skewness2.584468831
Sum2492087688
Variance3.261500518e+15
MonotocityNot monotonic
2020-11-24T21:52:51.023196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1043868412.0%
 
651906812.0%
 
639617612.0%
 
1233048412.0%
 
30719978812.0%
 
1034283212.0%
 
13434590012.0%
 
1321194012.0%
 
4473898412.0%
 
1000639212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
484894812.0%
 
596446412.0%
 
639617612.0%
 
651906812.0%
 
666366812.0%
 
ValueCountFrequency (%) 
30719978812.0%
 
20699538412.0%
 
15887614812.0%
 
13434590012.0%
 
12708454812.0%
 

1981Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49796354.75
Minimum4928868
Maximum313679568
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:51.150954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4928868
5-th percentile6600086
Q111548286
median32035084
Q353474228
95-th percentile149810428
Maximum313679568
Range308750700
Interquartile range (IQR)41925942

Descriptive statistics

Standard deviation58364879
Coefficient of variation (CV)1.172071315
Kurtosis8.264873291
Mean49796354.75
Median Absolute Deviation (MAD)21318212
Skewness2.586205012
Sum2539614092
Variance3.406459101e+15
MonotocityNot monotonic
2020-11-24T21:52:51.273144image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
607951612.0%
 
1028654012.0%
 
1670812412.0%
 
667619212.0%
 
2873332012.0%
 
1940460012.0%
 
1237970012.0%
 
1990788812.0%
 
10010410812.0%
 
31367956812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
492886812.0%
 
607951612.0%
 
652398012.0%
 
667619212.0%
 
685254812.0%
 
ValueCountFrequency (%) 
31367956812.0%
 
21167543212.0%
 
16318970812.0%
 
13643114812.0%
 
12924208012.0%
 

1981Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51678758.2
Minimum5142064
Maximum325533208
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:51.414783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5142064
5-th percentile6976188
Q111823494
median34059932
Q355649990
95-th percentile156291188
Maximum325533208
Range320391144
Interquartile range (IQR)43826496

Descriptive statistics

Standard deviation60537938.98
Coefficient of variation (CV)1.171427896
Kurtosis8.29460635
Mean51678758.2
Median Absolute Deviation (MAD)22287856
Skewness2.592474082
Sum2635616668
Variance3.664842056e+15
MonotocityNot monotonic
2020-11-24T21:52:51.597524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
13373653212.0%
 
5217692812.0%
 
3726176012.0%
 
839844812.0%
 
514206412.0%
 
6981855612.0%
 
1295298012.0%
 
5710444012.0%
 
17138001612.0%
 
3082724812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
514206412.0%
 
635501212.0%
 
681778012.0%
 
713459612.0%
 
718039612.0%
 
ValueCountFrequency (%) 
32553320812.0%
 
21932507612.0%
 
17138001612.0%
 
14120236012.0%
 
13373653212.0%
 

1981Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52353755.92
Minimum5221772
Maximum328922064
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:51.787071image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5221772
5-th percentile7073916
Q111750798
median34408484
Q356394636
95-th percentile160361162
Maximum328922064
Range323700292
Interquartile range (IQR)44643838

Descriptive statistics

Standard deviation61415193.7
Coefficient of variation (CV)1.173080949
Kurtosis8.181112676
Mean52353755.92
Median Absolute Deviation (MAD)22556592
Skewness2.583637953
Sum2670041552
Variance3.771826017e+15
MonotocityNot monotonic
2020-11-24T21:52:51.962412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
732761212.0%
 
1104719612.0%
 
1773092412.0%
 
928888812.0%
 
5306173612.0%
 
841656412.0%
 
5491012812.0%
 
3238552012.0%
 
685162812.0%
 
753215612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
522177212.0%
 
652489212.0%
 
685162812.0%
 
729620412.0%
 
732761212.0%
 
ValueCountFrequency (%) 
32892206412.0%
 
22296012012.0%
 
17751158012.0%
 
14321074412.0%
 
13505616412.0%
 

1982Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52993759.76
Minimum5283556
Maximum335183636
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:52.241339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5283556
5-th percentile6899586
Q112096082
median34732768
Q356772166
95-th percentile162089544
Maximum335183636
Range329900080
Interquartile range (IQR)44676084

Descriptive statistics

Standard deviation62402208.22
Coefficient of variation (CV)1.177538799
Kurtosis8.335553815
Mean52993759.76
Median Absolute Deviation (MAD)22426136
Skewness2.605626884
Sum2702681748
Variance3.894035591e+15
MonotocityNot monotonic
2020-11-24T21:52:52.425760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3892348812.0%
 
1112046812.0%
 
677812812.0%
 
702104412.0%
 
796758812.0%
 
4384440012.0%
 
22642236812.0%
 
2907410012.0%
 
653082412.0%
 
2018730412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
528355612.0%
 
653082412.0%
 
677812812.0%
 
702104412.0%
 
741885212.0%
 
ValueCountFrequency (%) 
33518363612.0%
 
22642236812.0%
 
18095980412.0%
 
14321928412.0%
 
13681709612.0%
 

1982Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53849597.65
Minimum5385604
Maximum338251040
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:52.576315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5385604
5-th percentile7075994
Q112236246
median35150996
Q357887536
95-th percentile164810832
Maximum338251040
Range332865436
Interquartile range (IQR)45651290

Descriptive statistics

Standard deviation63207548.65
Coefficient of variation (CV)1.173779404
Kurtosis8.184510609
Mean53849597.65
Median Absolute Deviation (MAD)22745760
Skewness2.586011814
Sum2746329480
Variance3.995194207e+15
MonotocityNot monotonic
2020-11-24T21:52:52.723090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
23061734012.0%
 
2932125612.0%
 
12371245212.0%
 
5867065612.0%
 
7417508812.0%
 
18306525612.0%
 
2046096412.0%
 
3783596012.0%
 
950430812.0%
 
4569848812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
538560412.0%
 
664617612.0%
 
697593612.0%
 
717605212.0%
 
755738012.0%
 
ValueCountFrequency (%) 
33825104012.0%
 
23061734012.0%
 
18306525612.0%
 
14655640812.0%
 
13908359212.0%
 

1982Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54667513.8
Minimum5555960
Maximum342545492
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:52.878708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5555960
5-th percentile7139166
Q112490494
median35665688
Q358693734
95-th percentile166558004
Maximum342545492
Range336989532
Interquartile range (IQR)46203240

Descriptive statistics

Standard deviation64186617.44
Coefficient of variation (CV)1.174127246
Kurtosis8.109929886
Mean54667513.8
Median Absolute Deviation (MAD)23479188
Skewness2.577668856
Sum2788043204
Variance4.119921859e+15
MonotocityNot monotonic
2020-11-24T21:52:53.039612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
770431612.0%
 
1181903612.0%
 
6919836012.0%
 
5914487612.0%
 
5824259212.0%
 
12232157612.0%
 
888150012.0%
 
1136502812.0%
 
4535421212.0%
 
5441424012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
555596012.0%
 
656490412.0%
 
701511612.0%
 
726321612.0%
 
770431612.0%
 
ValueCountFrequency (%) 
34254549212.0%
 
23597109612.0%
 
18481700012.0%
 
14829900812.0%
 
14171892012.0%
 

1982Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55560266.04
Minimum5561424
Maximum347366728
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:53.198695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5561424
5-th percentile7594414
Q112700160
median35600088
Q359631886
95-th percentile168972932
Maximum347366728
Range341805304
Interquartile range (IQR)46931726

Descriptive statistics

Standard deviation65117982.94
Coefficient of variation (CV)1.172024319
Kurtosis8.123656214
Mean55560266.04
Median Absolute Deviation (MAD)23660204
Skewness2.583149458
Sum2833573568
Variance4.240351702e+15
MonotocityNot monotonic
2020-11-24T21:52:53.353148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14301503612.0%
 
14945795212.0%
 
1810144012.0%
 
908137212.0%
 
3395884412.0%
 
3018066012.0%
 
1528837612.0%
 
736709212.0%
 
10564939612.0%
 
34736672812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
556142412.0%
 
646963612.0%
 
736709212.0%
 
782173612.0%
 
848911612.0%
 
ValueCountFrequency (%) 
34736672812.0%
 
24087000012.0%
 
18848791212.0%
 
14945795212.0%
 
14301503612.0%
 

1983Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56300784.47
Minimum5693816
Maximum357114128
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:53.520437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5693816
5-th percentile7456200
Q113188968
median35519840
Q360883838
95-th percentile170216548
Maximum357114128
Range351420312
Interquartile range (IQR)47694870

Descriptive statistics

Standard deviation66451154.72
Coefficient of variation (CV)1.180288256
Kurtosis8.413718906
Mean56300784.47
Median Absolute Deviation (MAD)23527496
Skewness2.618345294
Sum2871340008
Variance4.415755963e+15
MonotocityNot monotonic
2020-11-24T21:52:53.673474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
978952412.0%
 
1199234412.0%
 
1439198412.0%
 
6061008812.0%
 
3064158012.0%
 
712490412.0%
 
7896512412.0%
 
778749612.0%
 
2135004812.0%
 
10645282012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
569381612.0%
 
647108012.0%
 
712490412.0%
 
778749612.0%
 
804549212.0%
 
ValueCountFrequency (%) 
35711412812.0%
 
24343742812.0%
 
19077589212.0%
 
14965720412.0%
 
14387206012.0%
 

1983Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57258829.33
Minimum5784772
Maximum363830500
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:53.823137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5784772
5-th percentile7571590
Q113388774
median35977848
Q362099814
95-th percentile172619882
Maximum363830500
Range358045728
Interquartile range (IQR)48711040

Descriptive statistics

Standard deviation67677494.53
Coefficient of variation (CV)1.181957356
Kurtosis8.456706546
Mean57258829.33
Median Absolute Deviation (MAD)23780376
Skewness2.624526823
Sum2920200296
Variance4.580243266e+15
MonotocityNot monotonic
2020-11-24T21:52:53.959740image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5986821612.0%
 
3187010412.0%
 
1904309612.0%
 
6200415212.0%
 
8046898412.0%
 
4910430412.0%
 
1219747212.0%
 
989585212.0%
 
15141652812.0%
 
4723894412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
578477212.0%
 
640256012.0%
 
726606012.0%
 
787712012.0%
 
803724412.0%
 
ValueCountFrequency (%) 
36383050012.0%
 
24884097212.0%
 
19382323612.0%
 
15141652812.0%
 
14377845212.0%
 

1983Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58373644.71
Minimum5821188
Maximum371422700
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:54.108107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5821188
5-th percentile7619604
Q113616398
median36989288
Q363593294
95-th percentile175540364
Maximum371422700
Range365601512
Interquartile range (IQR)49976896

Descriptive statistics

Standard deviation69096996.53
Coefficient of variation (CV)1.183701941
Kurtosis8.449019372
Mean58373644.71
Median Absolute Deviation (MAD)24578008
Skewness2.621936561
Sum2977055880
Variance4.774394929e+15
MonotocityNot monotonic
2020-11-24T21:52:54.283549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1439910012.0%
 
4992374812.0%
 
2244454012.0%
 
5753830012.0%
 
5233270412.0%
 
6518814812.0%
 
5765346412.0%
 
8184696012.0%
 
815051212.0%
 
1003204412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
582118812.0%
 
646067612.0%
 
736809212.0%
 
787111612.0%
 
815051212.0%
 
ValueCountFrequency (%) 
37142270012.0%
 
25367751612.0%
 
19726920812.0%
 
15381152012.0%
 
14747602812.0%
 

1983Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60058976.78
Minimum5963976
Maximum382334592
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:54.425906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5963976
5-th percentile7780980
Q114074360
median38032088
Q365185016
95-th percentile180332150
Maximum382334592
Range376370616
Interquartile range (IQR)51110656

Descriptive statistics

Standard deviation71174824.87
Coefficient of variation (CV)1.185082209
Kurtosis8.428062806
Mean60058976.78
Median Absolute Deviation (MAD)25241096
Skewness2.619045446
Sum3063007816
Variance5.065855696e+15
MonotocityNot monotonic
2020-11-24T21:52:54.630422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3252210812.0%
 
1328554012.0%
 
3666834812.0%
 
1897678812.0%
 
15268050012.0%
 
15820428812.0%
 
923384012.0%
 
6316593612.0%
 
6715793212.0%
 
659218012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
596397612.0%
 
659218012.0%
 
754779212.0%
 
801416812.0%
 
842093212.0%
 
ValueCountFrequency (%) 
38233459212.0%
 
26143559212.0%
 
20246001212.0%
 
15820428812.0%
 
15268050012.0%
 

1984Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61874228.24
Minimum6167652
Maximum395233048
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:54.779718image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6167652
5-th percentile8224426
Q114431556
median39565088
Q367619824
95-th percentile184472906
Maximum395233048
Range389065396
Interquartile range (IQR)53188268

Descriptive statistics

Standard deviation73238928.31
Coefficient of variation (CV)1.183674211
Kurtosis8.562467576
Mean61874228.24
Median Absolute Deviation (MAD)26370192
Skewness2.630931956
Sum3155585640
Variance5.36394062e+15
MonotocityNot monotonic
2020-11-24T21:52:54.913313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4943365612.0%
 
5327214412.0%
 
1319489612.0%
 
837033612.0%
 
1562859612.0%
 
861817212.0%
 
1499268812.0%
 
4049450812.0%
 
15865872412.0%
 
6572160012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
616765212.0%
 
653816412.0%
 
807851612.0%
 
837033612.0%
 
861817212.0%
 
ValueCountFrequency (%) 
39523304812.0%
 
26742566012.0%
 
20596476412.0%
 
16298104812.0%
 
15865872412.0%
 

1984Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63495526.35
Minimum6342900
Maximum404330736
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:55.056393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6342900
5-th percentile8315888
Q114772952
median40621400
Q369646320
95-th percentile190012660
Maximum404330736
Range397987836
Interquartile range (IQR)54873368

Descriptive statistics

Standard deviation75160553.17
Coefficient of variation (CV)1.183714153
Kurtosis8.461436565
Mean63495526.35
Median Absolute Deviation (MAD)27092480
Skewness2.619569958
Sum3238271844
Variance5.649108752e+15
MonotocityNot monotonic
2020-11-24T21:52:55.198045image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1097324012.0%
 
12446918812.0%
 
4218719212.0%
 
6221316812.0%
 
3683294412.0%
 
6136676812.0%
 
4647689612.0%
 
1737924412.0%
 
668279212.0%
 
5513117212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
634290012.0%
 
668279212.0%
 
822033612.0%
 
841144012.0%
 
890752012.0%
 
ValueCountFrequency (%) 
40433073612.0%
 
27569918012.0%
 
21251463212.0%
 
16751068812.0%
 
16146495212.0%
 

1984Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64961831.37
Minimum6504916
Maximum415907032
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:55.354764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6504916
5-th percentile8464340
Q115086758
median41395780
Q371706876
95-th percentile194850718
Maximum415907032
Range409402116
Interquartile range (IQR)56620118

Descriptive statistics

Standard deviation77100213.2
Coefficient of variation (CV)1.186854058
Kurtosis8.61902763
Mean64961831.37
Median Absolute Deviation (MAD)27610920
Skewness2.641816801
Sum3313053400
Variance5.944442875e+15
MonotocityNot monotonic
2020-11-24T21:52:55.492474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
28355261212.0%
 
3384334412.0%
 
5976489612.0%
 
836869212.0%
 
15709714812.0%
 
21848759612.0%
 
6825250412.0%
 
1787956412.0%
 
1122282812.0%
 
4211784012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
650491612.0%
 
686550812.0%
 
836869212.0%
 
855998812.0%
 
911194012.0%
 
ValueCountFrequency (%) 
41590703212.0%
 
28355261212.0%
 
21848759612.0%
 
17121384012.0%
 
15901994012.0%
 

1984Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66024100.31
Minimum6658292
Maximum424485932
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:55.619775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6658292
5-th percentile8563716
Q115383308
median41948224
Q373216320
95-th percentile198168428
Maximum424485932
Range417827640
Interquartile range (IQR)57833012

Descriptive statistics

Standard deviation78521230.13
Coefficient of variation (CV)1.189281334
Kurtosis8.744840686
Mean66024100.31
Median Absolute Deviation (MAD)27900264
Skewness2.659681839
Sum3367229116
Variance6.16558358e+15
MonotocityNot monotonic
2020-11-24T21:52:55.740731image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
862975612.0%
 
22292345612.0%
 
665829212.0%
 
16137988812.0%
 
5210156012.0%
 
849767612.0%
 
6154090812.0%
 
3502769212.0%
 
1011165612.0%
 
8534416412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
665829212.0%
 
695473612.0%
 
849767612.0%
 
862975612.0%
 
934489612.0%
 
ValueCountFrequency (%) 
42448593212.0%
 
28936894012.0%
 
22292345612.0%
 
17341340012.0%
 
16137988812.0%
 

1985Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67296253.96
Minimum6793492
Maximum434129820
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:55.865782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6793492
5-th percentile8610550
Q115808240
median42756436
Q375054274
95-th percentile200601040
Maximum434129820
Range427336328
Interquartile range (IQR)59246034

Descriptive statistics

Standard deviation80159392.42
Coefficient of variation (CV)1.191141969
Kurtosis8.782920634
Mean67296253.96
Median Absolute Deviation (MAD)28181848
Skewness2.662061306
Sum3432108952
Variance6.425528193e+15
MonotocityNot monotonic
2020-11-24T21:52:55.981339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7607008412.0%
 
688934812.0%
 
1157312812.0%
 
958917612.0%
 
4215400412.0%
 
3762014812.0%
 
1402965612.0%
 
22621134012.0%
 
7656465212.0%
 
5248172412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
679349212.0%
 
688934812.0%
 
847366812.0%
 
874743212.0%
 
958917612.0%
 
ValueCountFrequency (%) 
43412982012.0%
 
29323134412.0%
 
22621134012.0%
 
17499074012.0%
 
16538933612.0%
 

1985Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68083663.22
Minimum6860668
Maximum438025692
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:56.102658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6860668
5-th percentile8621370
Q116010568
median43190644
Q376130196
95-th percentile203024368
Maximum438025692
Range431165024
Interquartile range (IQR)60119628

Descriptive statistics

Standard deviation81072412.54
Coefficient of variation (CV)1.190776299
Kurtosis8.677829719
Mean68083663.22
Median Absolute Deviation (MAD)28621024
Skewness2.647974704
Sum3472266824
Variance6.572736075e+15
MonotocityNot monotonic
2020-11-24T21:52:56.222206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4563370412.0%
 
4937117612.0%
 
2236139612.0%
 
1415409212.0%
 
3814098412.0%
 
1069988012.0%
 
6232005212.0%
 
3566309212.0%
 
972996812.0%
 
15032173212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
686066812.0%
 
701547612.0%
 
850106412.0%
 
874167612.0%
 
966508812.0%
 
ValueCountFrequency (%) 
43802569212.0%
 
29646505212.0%
 
22982480412.0%
 
17622393212.0%
 
16878861212.0%
 

1985Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69007862.98
Minimum6980828
Maximum445901564
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:56.344787image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6980828
5-th percentile8631238
Q116257002
median43592312
Q377522194
95-th percentile205461612
Maximum445901564
Range438920736
Interquartile range (IQR)61265192

Descriptive statistics

Standard deviation82370824.57
Coefficient of variation (CV)1.193644043
Kurtosis8.765444344
Mean69007862.98
Median Absolute Deviation (MAD)28758896
Skewness2.658771118
Sum3519401012
Variance6.784952741e+15
MonotocityNot monotonic
2020-11-24T21:52:56.463225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6034314012.0%
 
6609986812.0%
 
4619652412.0%
 
6298574012.0%
 
982801212.0%
 
1483341612.0%
 
3541277612.0%
 
9001458412.0%
 
1762730012.0%
 
15168936012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
698082812.0%
 
711064812.0%
 
851468412.0%
 
874779212.0%
 
977043612.0%
 
ValueCountFrequency (%) 
44590156412.0%
 
30056832412.0%
 
23276045612.0%
 
17816276812.0%
 
17184863212.0%
 

1985Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70273161.02
Minimum7114232
Maximum455328564
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:56.588986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7114232
5-th percentile8737536
Q116616190
median43888296
Q379346316
95-th percentile208627302
Maximum455328564
Range448214332
Interquartile range (IQR)62730126

Descriptive statistics

Standard deviation83980650.08
Coefficient of variation (CV)1.195060089
Kurtosis8.812167346
Mean70273161.02
Median Absolute Deviation (MAD)28768076
Skewness2.662271663
Sum3583931212
Variance7.052749588e+15
MonotocityNot monotonic
2020-11-24T21:52:56.715201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
18097548412.0%
 
4388829612.0%
 
4336121212.0%
 
8101725212.0%
 
1676997612.0%
 
6717757612.0%
 
45532856412.0%
 
6140141612.0%
 
3571627212.0%
 
1007714012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
711423212.0%
 
724971612.0%
 
858250812.0%
 
889256412.0%
 
984420412.0%
 
ValueCountFrequency (%) 
45532856412.0%
 
30520833612.0%
 
23627912012.0%
 
18097548412.0%
 
17583268412.0%
 

1986Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71479996.63
Minimum7215660
Maximum464190268
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:56.846487image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7215660
5-th percentile8661352
Q116956698
median44191540
Q381024694
95-th percentile210274194
Maximum464190268
Range456974608
Interquartile range (IQR)64067996

Descriptive statistics

Standard deviation85661532.47
Coefficient of variation (CV)1.198398664
Kurtosis8.814602648
Mean71479996.63
Median Absolute Deviation (MAD)28956540
Skewness2.662721279
Sum3645479828
Variance7.337898144e+15
MonotocityNot monotonic
2020-11-24T21:52:56.972221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14077451212.0%
 
721566012.0%
 
46419026812.0%
 
18271103612.0%
 
1482854012.0%
 
2250432812.0%
 
1684805612.0%
 
869386412.0%
 
7391928412.0%
 
23783735212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
721566012.0%
 
731265612.0%
 
862884012.0%
 
869386412.0%
 
1004030812.0%
 
ValueCountFrequency (%) 
46419026812.0%
 
31217542812.0%
 
23783735212.0%
 
18271103612.0%
 
18077206012.0%
 

1986Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72296160.08
Minimum7103284
Maximum471684868
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:57.103622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7103284
5-th percentile8840292
Q117380606
median43707292
Q382420560
95-th percentile211586936
Maximum471684868
Range464581584
Interquartile range (IQR)65039954

Descriptive statistics

Standard deviation86653044.96
Coefficient of variation (CV)1.198584335
Kurtosis9.005778811
Mean72296160.08
Median Absolute Deviation (MAD)28468700
Skewness2.684526636
Sum3687104164
Variance7.508750201e+15
MonotocityNot monotonic
2020-11-24T21:52:57.242204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2110674412.0%
 
1817622812.0%
 
1035294812.0%
 
3670316812.0%
 
18324767212.0%
 
6584023212.0%
 
8095390812.0%
 
31619025612.0%
 
4370729212.0%
 
3934404412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
710328412.0%
 
741836412.0%
 
881748412.0%
 
886310012.0%
 
1013860012.0%
 
ValueCountFrequency (%) 
47168486812.0%
 
31619025612.0%
 
23711103612.0%
 
18606283612.0%
 
18324767212.0%
 

1986Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73277572.71
Minimum6907264
Maximum481092152
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:57.375869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6907264
5-th percentile9034966
Q117716980
median44226492
Q384060512
95-th percentile212653404
Maximum481092152
Range474184888
Interquartile range (IQR)66343532

Descriptive statistics

Standard deviation87984449.59
Coefficient of variation (CV)1.200700928
Kurtosis9.220615048
Mean73277572.71
Median Absolute Deviation (MAD)28716320
Skewness2.710624041
Sum3737156208
Variance7.741263369e+15
MonotocityNot monotonic
2020-11-24T21:52:57.518062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8634239612.0%
 
7080220812.0%
 
1618974812.0%
 
14179659612.0%
 
14584665612.0%
 
5295967212.0%
 
1983732412.0%
 
903015612.0%
 
1763084412.0%
 
7380816812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
690726412.0%
 
754856412.0%
 
903015612.0%
 
903977612.0%
 
1020804012.0%
 
ValueCountFrequency (%) 
48109215212.0%
 
32159082012.0%
 
23688742812.0%
 
18841938012.0%
 
18579198812.0%
 

1986Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74102584.31
Minimum6761424
Maximum488120556
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:57.660830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6761424
5-th percentile9077490
Q118060258
median44486120
Q385452448
95-th percentile212661918
Maximum488120556
Range481359132
Interquartile range (IQR)67392190

Descriptive statistics

Standard deviation89006627.83
Coefficient of variation (CV)1.201127176
Kurtosis9.351721164
Mean74102584.31
Median Absolute Deviation (MAD)28670308
Skewness2.724139312
Sum3779231800
Variance7.922179798e+15
MonotocityNot monotonic
2020-11-24T21:52:57.810262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1074482812.0%
 
19017534812.0%
 
1841170412.0%
 
1998133212.0%
 
1581581212.0%
 
1232363612.0%
 
14779322412.0%
 
17708766412.0%
 
18788321612.0%
 
1078352812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
676142412.0%
 
773680812.0%
 
905534812.0%
 
909963212.0%
 
1022422812.0%
 
ValueCountFrequency (%) 
48812055612.0%
 
32584257212.0%
 
23514848812.0%
 
19017534812.0%
 
18788321612.0%
 

1987Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75228216.47
Minimum6678276
Maximum499138764
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:57.944836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6678276
5-th percentile9125924
Q118320074
median44835024
Q386798564
95-th percentile215848130
Maximum499138764
Range492460488
Interquartile range (IQR)68478490

Descriptive statistics

Standard deviation90802102.36
Coefficient of variation (CV)1.207021868
Kurtosis9.486672233
Mean75228216.47
Median Absolute Deviation (MAD)28886348
Skewness2.74190498
Sum3836639040
Variance8.245021794e+15
MonotocityNot monotonic
2020-11-24T21:52:58.089031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7768383212.0%
 
1033142012.0%
 
3788967612.0%
 
19286265212.0%
 
920100412.0%
 
1089708012.0%
 
11230315212.0%
 
5063467612.0%
 
7246033612.0%
 
19297642412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
667827612.0%
 
782398812.0%
 
905084412.0%
 
920100412.0%
 
1033142012.0%
 
ValueCountFrequency (%) 
49913876412.0%
 
33149249612.0%
 
23871983612.0%
 
19297642412.0%
 
19286265212.0%
 

1987Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76404326.35
Minimum6754308
Maximum510249676
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:59.306942image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6754308
5-th percentile9213408
Q118625426
median45485616
Q388480070
95-th percentile218072448
Maximum510249676
Range503495368
Interquartile range (IQR)69854644

Descriptive statistics

Standard deviation92503095.12
Coefficient of variation (CV)1.210704937
Kurtosis9.655376504
Mean76404326.35
Median Absolute Deviation (MAD)29284248
Skewness2.762738128
Sum3896620644
Variance8.556822607e+15
MonotocityNot monotonic
2020-11-24T21:52:59.445734image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1235238012.0%
 
1886848012.0%
 
4351173612.0%
 
4325317212.0%
 
3841297612.0%
 
33689897212.0%
 
2390375612.0%
 
7000324412.0%
 
801144412.0%
 
2823402012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
675430812.0%
 
801144412.0%
 
916042412.0%
 
926639212.0%
 
1039228412.0%
 
ValueCountFrequency (%) 
51024967612.0%
 
33689897212.0%
 
23953868812.0%
 
19660620812.0%
 
19548431612.0%
 

1987Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77793564.24
Minimum6749468
Maximum516625080
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:59.578529image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6749468
5-th percentile9291632
Q118970068
median46787904
Q390488182
95-th percentile221699988
Maximum516625080
Range509875612
Interquartile range (IQR)71518114

Descriptive statistics

Standard deviation93945364.98
Coefficient of variation (CV)1.207623868
Kurtosis9.488008082
Mean77793564.24
Median Absolute Deviation (MAD)30134412
Skewness2.739339411
Sum3967471776
Variance8.825731602e+15
MonotocityNot monotonic
2020-11-24T21:52:59.720899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1137874412.0%
 
1760176812.0%
 
919525612.0%
 
7504773212.0%
 
1757892812.0%
 
8040804812.0%
 
1040222012.0%
 
2167570012.0%
 
1284036012.0%
 
19166313612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
674946812.0%
 
820402812.0%
 
919525612.0%
 
938800812.0%
 
1037799212.0%
 
ValueCountFrequency (%) 
51662508012.0%
 
34252232012.0%
 
24218018412.0%
 
20121979212.0%
 
19905074012.0%
 

1987Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79660873.33
Minimum6834496
Maximum528533472
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:52:59.858162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6834496
5-th percentile9420904
Q119400060
median48224740
Q393118662
95-th percentile226249278
Maximum528533472
Range521698976
Interquartile range (IQR)73718602

Descriptive statistics

Standard deviation96118750.13
Coefficient of variation (CV)1.206599251
Kurtosis9.479772781
Mean79660873.33
Median Absolute Deviation (MAD)30876664
Skewness2.736878789
Sum4062704540
Variance9.238814127e+15
MonotocityNot monotonic
2020-11-24T21:53:00.001714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
923972012.0%
 
5422277612.0%
 
7250491612.0%
 
12115697212.0%
 
9467717612.0%
 
7571768012.0%
 
16206058812.0%
 
2118669212.0%
 
7323260012.0%
 
4099422412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
683449612.0%
 
850708012.0%
 
923972012.0%
 
960208812.0%
 
1049284012.0%
 
ValueCountFrequency (%) 
52853347212.0%
 
35103500812.0%
 
24559936812.0%
 
20689918812.0%
 
20317122812.0%
 

1988Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81143637.33
Minimum6645056
Maximum540582912
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:00.140594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6645056
5-th percentile9066992
Q119680074
median48790924
Q394785764
95-th percentile229479328
Maximum540582912
Range533937856
Interquartile range (IQR)75105690

Descriptive statistics

Standard deviation98787725.41
Coefficient of variation (CV)1.217442657
Kurtosis9.451093599
Mean81143637.33
Median Absolute Deviation (MAD)30914704
Skewness2.744939806
Sum4138325504
Variance9.759014691e+15
MonotocityNot monotonic
2020-11-24T21:53:00.280626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1969871612.0%
 
5459919212.0%
 
2917331212.0%
 
7970562812.0%
 
5491674812.0%
 
2074374012.0%
 
20796703212.0%
 
1745874012.0%
 
2239338812.0%
 
4424872812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
664505612.0%
 
850478012.0%
 
856075612.0%
 
957322812.0%
 
1043202812.0%
 
ValueCountFrequency (%) 
54058291212.0%
 
36796628812.0%
 
24778417612.0%
 
21117448012.0%
 
20796703212.0%
 

1988Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82594239.53
Minimum6857672
Maximum552210832
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:00.414046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6857672
5-th percentile9232092
Q120095454
median49954568
Q397044562
95-th percentile234208580
Maximum552210832
Range545353160
Interquartile range (IQR)76949108

Descriptive statistics

Standard deviation100258819.3
Coefficient of variation (CV)1.213871814
Kurtosis9.621441242
Mean82594239.53
Median Absolute Deviation (MAD)31440068
Skewness2.757273564
Sum4212306216
Variance1.005183086e+16
MonotocityNot monotonic
2020-11-24T21:53:00.551988image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9885895612.0%
 
2117782412.0%
 
7391250012.0%
 
9523016812.0%
 
972318412.0%
 
25359150812.0%
 
1882471612.0%
 
9931550012.0%
 
824594012.0%
 
5554781612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
685767212.0%
 
824594012.0%
 
874100012.0%
 
972318412.0%
 
1060584012.0%
 
ValueCountFrequency (%) 
55221083212.0%
 
36709596812.0%
 
25359150812.0%
 
21482565212.0%
 
21016738812.0%
 

1988Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84384196.24
Minimum6987748
Maximum564680188
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:00.680419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6987748
5-th percentile9448698
Q120453214
median51103252
Q399858806
95-th percentile240388452
Maximum564680188
Range557692440
Interquartile range (IQR)79405592

Descriptive statistics

Standard deviation102406918.4
Coefficient of variation (CV)1.213579355
Kurtosis9.660666143
Mean84384196.24
Median Absolute Deviation (MAD)31640948
Skewness2.761516356
Sum4303594008
Variance1.048717694e+16
MonotocityNot monotonic
2020-11-24T21:53:00.806794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2344666812.0%
 
1378819212.0%
 
698774812.0%
 
4255189212.0%
 
15756844412.0%
 
1946230412.0%
 
5711275612.0%
 
1437508812.0%
 
983197612.0%
 
21451818812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
698774812.0%
 
866211612.0%
 
906542012.0%
 
983197612.0%
 
1081002812.0%
 
ValueCountFrequency (%) 
56468018812.0%
 
37410082412.0%
 
25911865212.0%
 
22165825212.0%
 
21451818812.0%
 

1988Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86054632.78
Minimum7072780
Maximum574790400
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:00.940747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7072780
5-th percentile9593238
Q121037446
median51710900
Q3101888168
95-th percentile245868466
Maximum574790400
Range567717620
Interquartile range (IQR)80850722

Descriptive statistics

Standard deviation104626394.8
Coefficient of variation (CV)1.215813623
Kurtosis9.577575872
Mean86054632.78
Median Absolute Deviation (MAD)32573052
Skewness2.756461134
Sum4388786272
Variance1.09466825e+16
MonotocityNot monotonic
2020-11-24T21:53:01.071318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1890514412.0%
 
8075459612.0%
 
10025519612.0%
 
5171090012.0%
 
21931026812.0%
 
2076305612.0%
 
18383921612.0%
 
2217950012.0%
 
3102689612.0%
 
1456136412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
707278012.0%
 
842606812.0%
 
927512412.0%
 
991135212.0%
 
1101050412.0%
 
ValueCountFrequency (%) 
57479040012.0%
 
38680864012.0%
 
26455545212.0%
 
22718148012.0%
 
21931026812.0%
 

1989Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88571333.33
Minimum7378220
Maximum590479280
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:01.211209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7378220
5-th percentile10003600
Q121703796
median53487668
Q3104433598
95-th percentile252810468
Maximum590479280
Range583101060
Interquartile range (IQR)82729802

Descriptive statistics

Standard deviation107270855.5
Coefficient of variation (CV)1.211123864
Kurtosis9.572170759
Mean88571333.33
Median Absolute Deviation (MAD)34022292
Skewness2.749841539
Sum4517138000
Variance1.150703644e+16
MonotocityNot monotonic
2020-11-24T21:53:01.351749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
16660120812.0%
 
59047928012.0%
 
1946537612.0%
 
1032453212.0%
 
3211496012.0%
 
7985099612.0%
 
18923089612.0%
 
4648233212.0%
 
2140218012.0%
 
23680900412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
737822012.0%
 
938863212.0%
 
968266812.0%
 
1032453212.0%
 
1140860012.0%
 
ValueCountFrequency (%) 
59047928012.0%
 
39292358012.0%
 
26881193212.0%
 
23680900412.0%
 
22326414412.0%
 

1989Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89638719.37
Minimum7471068
Maximum595298008
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:01.508477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7471068
5-th percentile10124650
Q122287242
median53636312
Q3105453296
95-th percentile256786590
Maximum595298008
Range587826940
Interquartile range (IQR)83166054

Descriptive statistics

Standard deviation108605031.5
Coefficient of variation (CV)1.211586157
Kurtosis9.458472663
Mean89638719.37
Median Absolute Deviation (MAD)33870772
Skewness2.741669642
Sum4571574688
Variance1.179505286e+16
MonotocityNot monotonic
2020-11-24T21:53:01.642649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8723561212.0%
 
4747330812.0%
 
18292486012.0%
 
21860792812.0%
 
1362852012.0%
 
12255723612.0%
 
5363631212.0%
 
40279467212.0%
 
946807612.0%
 
1976554012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
747106812.0%
 
946807612.0%
 
980857212.0%
 
1044072812.0%
 
1178312812.0%
 
ValueCountFrequency (%) 
59529800812.0%
 
40279467212.0%
 
27171838812.0%
 
24185479212.0%
 
22526239212.0%
 

1989Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90720185.18
Minimum7600424
Maximum601255932
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:01.790189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7600424
5-th percentile10192488
Q122742936
median54194780
Q3106908004
95-th percentile261043134
Maximum601255932
Range593655508
Interquartile range (IQR)84165068

Descriptive statistics

Standard deviation109987067.8
Coefficient of variation (CV)1.212377021
Kurtosis9.369722002
Mean90720185.18
Median Absolute Deviation (MAD)34317180
Skewness2.733249028
Sum4626729444
Variance1.209715509e+16
MonotocityNot monotonic
2020-11-24T21:53:01.923331image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
10493755612.0%
 
60125593212.0%
 
1496959612.0%
 
3278782012.0%
 
2162911212.0%
 
1055046012.0%
 
1499498812.0%
 
2319197612.0%
 
40960989212.0%
 
18480707212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
760042412.0%
 
952466812.0%
 
983451612.0%
 
1055046012.0%
 
1185123212.0%
 
ValueCountFrequency (%) 
60125593212.0%
 
40960989212.0%
 
27547835612.0%
 
24660791212.0%
 
22766985612.0%
 

1989Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92165369.96
Minimum7751448
Maximum617701764
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:02.063292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7751448
5-th percentile10396578
Q123188554
median55286660
Q3108516134
95-th percentile265773820
Maximum617701764
Range609950316
Interquartile range (IQR)85327580

Descriptive statistics

Standard deviation112106406.3
Coefficient of variation (CV)1.216361485
Kurtosis9.687206709
Mean92165369.96
Median Absolute Deviation (MAD)35209544
Skewness2.77058257
Sum4700433868
Variance1.256784633e+16
MonotocityNot monotonic
2020-11-24T21:53:02.195971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4748495612.0%
 
10639360412.0%
 
23094366012.0%
 
2363347212.0%
 
22489401212.0%
 
1531795212.0%
 
2195231212.0%
 
11184130012.0%
 
8916698012.0%
 
2109969612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
775144812.0%
 
964627612.0%
 
1004388812.0%
 
1074926812.0%
 
1204224812.0%
 
ValueCountFrequency (%) 
61770176412.0%
 
41204304012.0%
 
28023902012.0%
 
25130862012.0%
 
23094366012.0%
 

1990Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94070425.33
Minimum7993164
Maximum631392640
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:02.331943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7993164
5-th percentile10738108
Q123532758
median56385996
Q3111120866
95-th percentile272202140
Maximum631392640
Range623399476
Interquartile range (IQR)87588108

Descriptive statistics

Standard deviation114681070.9
Coefficient of variation (CV)1.219098038
Kurtosis9.712974388
Mean94070425.33
Median Absolute Deviation (MAD)36127088
Skewness2.779027481
Sum4797591692
Variance1.315174803e+16
MonotocityNot monotonic
2020-11-24T21:53:02.463886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1590380012.0%
 
22850127612.0%
 
13757253612.0%
 
11343928412.0%
 
2559924812.0%
 
2291102412.0%
 
5056951612.0%
 
1018077612.0%
 
1016112812.0%
 
18945219612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
799316412.0%
 
1016112812.0%
 
1018077612.0%
 
1129544012.0%
 
1223567212.0%
 
ValueCountFrequency (%) 
63139264012.0%
 
42390183212.0%
 
28855092012.0%
 
25585336012.0%
 
23526081612.0%
 

1990Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95556310.59
Minimum8156968
Maximum640863132
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:02.600369image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8156968
5-th percentile10854914
Q123870080
median57082104
Q3112660246
95-th percentile276958252
Maximum640863132
Range632706164
Interquartile range (IQR)88790166

Descriptive statistics

Standard deviation116544770.5
Coefficient of variation (CV)1.219644938
Kurtosis9.663463349
Mean95556310.59
Median Absolute Deviation (MAD)36725432
Skewness2.773804061
Sum4873371840
Variance1.358268354e+16
MonotocityNot monotonic
2020-11-24T21:53:02.743438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5067081612.0%
 
1236368012.0%
 
29467154012.0%
 
4544838012.0%
 
1023428812.0%
 
6307294012.0%
 
9778566412.0%
 
11028087212.0%
 
3410890812.0%
 
5597469212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
815696812.0%
 
1023428812.0%
 
1025401612.0%
 
1145581212.0%
 
1236368012.0%
 
ValueCountFrequency (%) 
64086313212.0%
 
43095949212.0%
 
29467154012.0%
 
25924496412.0%
 
23967778012.0%
 

1990Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96758732.71
Minimum8216788
Maximum647648440
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:02.881510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8216788
5-th percentile10987220
Q124195890
median57874676
Q3114205036
95-th percentile281260310
Maximum647648440
Range639431652
Interquartile range (IQR)90009146

Descriptive statistics

Standard deviation118002215.6
Coefficient of variation (CV)1.219551065
Kurtosis9.601841524
Mean96758732.71
Median Absolute Deviation (MAD)37504576
Skewness2.768411497
Sum4934695368
Variance1.392452287e+16
MonotocityNot monotonic
2020-11-24T21:53:03.014870image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11171302012.0%
 
1626638412.0%
 
5209977212.0%
 
2324370412.0%
 
9973979212.0%
 
5141008012.0%
 
2037010012.0%
 
6484036812.0%
 
2633514812.0%
 
1452496812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
821678812.0%
 
1021506812.0%
 
1035872412.0%
 
1161571612.0%
 
1252104812.0%
 
ValueCountFrequency (%) 
64764844012.0%
 
43792780812.0%
 
30030266012.0%
 
26221796012.0%
 
24272561212.0%
 

1990Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97179472.55
Minimum8278420
Maximum655915516
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:03.153332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8278420
5-th percentile11036768
Q124616126
median58587240
Q3114131858
95-th percentile282176370
Maximum655915516
Range647637096
Interquartile range (IQR)89515732

Descriptive statistics

Standard deviation118799016.6
Coefficient of variation (CV)1.222470275
Kurtosis9.849057894
Mean97179472.55
Median Absolute Deviation (MAD)38342328
Skewness2.798032187
Sum4956153100
Variance1.411320634e+16
MonotocityNot monotonic
2020-11-24T21:53:03.292829image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8741791212.0%
 
9942493212.0%
 
11680287612.0%
 
827842012.0%
 
6569255212.0%
 
17778757612.0%
 
5858724012.0%
 
2165227612.0%
 
2969310412.0%
 
1038750012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
827842012.0%
 
1019113612.0%
 
1038750012.0%
 
1168603612.0%
 
1259647212.0%
 
ValueCountFrequency (%) 
65591551612.0%
 
43677981612.0%
 
30129475212.0%
 
26305798812.0%
 
24533669212.0%
 

1991Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97346010.67
Minimum8395436
Maximum656139720
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:03.441431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8395436
5-th percentile10997540
Q125001472
median59022624
Q3115176644
95-th percentile284718342
Maximum656139720
Range647744284
Interquartile range (IQR)90175172

Descriptive statistics

Standard deviation118153980.6
Coefficient of variation (CV)1.213752673
Kurtosis9.948986879
Mean97346010.67
Median Absolute Deviation (MAD)38741484
Skewness2.799073893
Sum4964646544
Variance1.396036314e+16
MonotocityNot monotonic
2020-11-24T21:53:03.570557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5746502812.0%
 
4939817212.0%
 
6631122412.0%
 
17634206412.0%
 
2178910812.0%
 
1304082812.0%
 
23833297612.0%
 
839543612.0%
 
1495401612.0%
 
1168731612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
839543612.0%
 
1021859212.0%
 
1030776412.0%
 
1168731612.0%
 
1296908812.0%
 
ValueCountFrequency (%) 
65613972012.0%
 
42536073612.0%
 
30309041212.0%
 
26634627212.0%
 
24146674012.0%
 

1991Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98519376.08
Minimum8490524
Maximum661475636
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:03.705831image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8490524
5-th percentile11146604
Q125300214
median59950728
Q3117002530
95-th percentile288377454
Maximum661475636
Range652985112
Interquartile range (IQR)91702316

Descriptive statistics

Standard deviation119395373.1
Coefficient of variation (CV)1.211897374
Kurtosis9.845724682
Mean98519376.08
Median Absolute Deviation (MAD)39638768
Skewness2.787198707
Sum5024488180
Variance1.425525513e+16
MonotocityNot monotonic
2020-11-24T21:53:03.844304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9298682812.0%
 
10483348412.0%
 
1034740012.0%
 
3018386412.0%
 
1684689612.0%
 
5212062812.0%
 
5802216012.0%
 
14093611212.0%
 
1304005612.0%
 
1510978412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
849052412.0%
 
1033922812.0%
 
1034740012.0%
 
1194580812.0%
 
1304005612.0%
 
ValueCountFrequency (%) 
66147563612.0%
 
43164530012.0%
 
30766842412.0%
 
26908648412.0%
 
24442640412.0%
 

1991Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99529378.59
Minimum8601608
Maximum666791000
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:03.988087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8601608
5-th percentile11211322
Q125613266
median61086064
Q3118380722
95-th percentile291225778
Maximum666791000
Range658189392
Interquartile range (IQR)92767456

Descriptive statistics

Standard deviation120403132.9
Coefficient of variation (CV)1.209724552
Kurtosis9.802623634
Mean99529378.59
Median Absolute Deviation (MAD)40371612
Skewness2.780292004
Sum5075998308
Variance1.449691441e+16
MonotocityNot monotonic
2020-11-24T21:53:04.122224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9007214812.0%
 
66679100012.0%
 
2045774412.0%
 
4764792012.0%
 
1533327612.0%
 
13533617612.0%
 
2200324012.0%
 
12177079612.0%
 
6913040812.0%
 
8769118412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
860160812.0%
 
1041608812.0%
 
1044104812.0%
 
1198159612.0%
 
1325580012.0%
 
ValueCountFrequency (%) 
66679100012.0%
 
43465998012.0%
 
31163890412.0%
 
27081265212.0%
 
24698256412.0%
 

1991Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101135901.3
Minimum8771504
Maximum675600496
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:04.261160image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8771504
5-th percentile11464320
Q126168896
median62512856
Q3120270616
95-th percentile296247290
Maximum675600496
Range666828992
Interquartile range (IQR)94101720

Descriptive statistics

Standard deviation121983920.6
Coefficient of variation (CV)1.206138661
Kurtosis9.763366309
Mean101135901.3
Median Absolute Deviation (MAD)41261312
Skewness2.772864216
Sum5157930968
Variance1.488007689e+16
MonotocityNot monotonic
2020-11-24T21:53:04.423366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
67560049612.0%
 
31753546012.0%
 
8826718812.0%
 
6785452412.0%
 
2068536012.0%
 
9119529212.0%
 
2834282812.0%
 
14303558012.0%
 
21162013212.0%
 
877150412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
877150412.0%
 
1054411212.0%
 
1057142012.0%
 
1235722012.0%
 
1346196812.0%
 
ValueCountFrequency (%) 
67560049612.0%
 
43882966812.0%
 
31753546012.0%
 
27495912012.0%
 
25101929212.0%
 

1992Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103473952.4
Minimum8926712
Maximum687931192
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:04.573127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8926712
5-th percentile11942816
Q126834440
median63985652
Q3123045590
95-th percentile302936376
Maximum687931192
Range679004480
Interquartile range (IQR)96211150

Descriptive statistics

Standard deviation124415662.2
Coefficient of variation (CV)1.202386294
Kurtosis9.654851419
Mean103473952.4
Median Absolute Deviation (MAD)41898548
Skewness2.757579622
Sum5277171572
Variance1.5479257e+16
MonotocityNot monotonic
2020-11-24T21:53:04.716084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9199212012.0%
 
2854201212.0%
 
1382479212.0%
 
2779653612.0%
 
9408818412.0%
 
18555063612.0%
 
27927275612.0%
 
1118752812.0%
 
10588420012.0%
 
5477969212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
892671212.0%
 
1084884812.0%
 
1118752812.0%
 
1269810412.0%
 
1382479212.0%
 
ValueCountFrequency (%) 
68793119212.0%
 
44725839212.0%
 
32659999612.0%
 
27927275612.0%
 
25898462012.0%
 

1992Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105452493.2
Minimum9069940
Maximum699733568
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:04.866554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum9069940
5-th percentile12170682
Q127452306
median65151308
Q3125421544
95-th percentile309020728
Maximum699733568
Range690663628
Interquartile range (IQR)97969238

Descriptive statistics

Standard deviation126495104.6
Coefficient of variation (CV)1.199545888
Kurtosis9.625812678
Mean105452493.2
Median Absolute Deviation (MAD)43826888
Skewness2.750382384
Sum5378077152
Variance1.600101149e+16
MonotocityNot monotonic
2020-11-24T21:53:05.013521image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2916364412.0%
 
2836124012.0%
 
12031722812.0%
 
10908446412.0%
 
1591453612.0%
 
9397098812.0%
 
7071120812.0%
 
7438328012.0%
 
6214966412.0%
 
13052586012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
906994012.0%
 
1112066412.0%
 
1135282812.0%
 
1298853612.0%
 
1400318012.0%
 
ValueCountFrequency (%) 
69973356812.0%
 
45217101212.0%
 
33367855212.0%
 
28436290412.0%
 
26526346012.0%
 

1992Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106669307.7
Minimum9117772
Maximum706644120
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:05.166185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum9117772
5-th percentile12333448
Q127715672
median65840032
Q3126975042
95-th percentile313390284
Maximum706644120
Range697526348
Interquartile range (IQR)99259370

Descriptive statistics

Standard deviation127939359.2
Coefficient of variation (CV)1.199401795
Kurtosis9.581377998
Mean106669307.7
Median Absolute Deviation (MAD)44313432
Skewness2.747315503
Sum5440134692
Variance1.636847962e+16
MonotocityNot monotonic
2020-11-24T21:53:05.305612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7141392812.0%
 
2683945212.0%
 
45954700812.0%
 
14856708812.0%
 
5128748012.0%
 
2495607612.0%
 
33825969212.0%
 
11087543212.0%
 
9509792812.0%
 
1605546812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
911777212.0%
 
1123670412.0%
 
1153312812.0%
 
1313376812.0%
 
1421551212.0%
 
ValueCountFrequency (%) 
70664412012.0%
 
45954700812.0%
 
33825969212.0%
 
28852087612.0%
 
26870322412.0%
 

1992Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108099070.3
Minimum9173684
Maximum711239128
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:05.450873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum9173684
5-th percentile12358864
Q127903446
median66510076
Q3128311784
95-th percentile318201646
Maximum711239128
Range702065444
Interquartile range (IQR)100408338

Descriptive statistics

Standard deviation129601498.3
Coefficient of variation (CV)1.198914089
Kurtosis9.333612184
Mean108099070.3
Median Absolute Deviation (MAD)44738788
Skewness2.719067909
Sum5513052584
Variance1.679654837e+16
MonotocityNot monotonic
2020-11-24T21:53:05.586549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15088346812.0%
 
21499024412.0%
 
19651210812.0%
 
10358891212.0%
 
9864302012.0%
 
22539000412.0%
 
11773259612.0%
 
12213188812.0%
 
4065033612.0%
 
10418231612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
917368412.0%
 
1126511612.0%
 
1157200412.0%
 
1314572412.0%
 
1426956012.0%
 
ValueCountFrequency (%) 
71123912812.0%
 
47065090812.0%
 
34266817612.0%
 
29373511612.0%
 
27319177612.0%
 

1993Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108770335.9
Minimum9493324
Maximum713417440
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:05.729192image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum9493324
5-th percentile12435848
Q128808742
median67004416
Q3130465952
95-th percentile324601302
Maximum713417440
Range703924116
Interquartile range (IQR)101657210

Descriptive statistics

Standard deviation129322826.6
Coefficient of variation (CV)1.188953086
Kurtosis9.380205777
Mean108770335.9
Median Absolute Deviation (MAD)45024088
Skewness2.713745036
Sum5547287132
Variance1.672439348e+16
MonotocityNot monotonic
2020-11-24T21:53:05.865394image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
10515154412.0%
 
4059792812.0%
 
9765675212.0%
 
1623234812.0%
 
22606122812.0%
 
34926480812.0%
 
5333445612.0%
 
29993779612.0%
 
5778128412.0%
 
1342032012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
949332412.0%
 
1139292412.0%
 
1145137612.0%
 
1342032012.0%
 
1472605212.0%
 
ValueCountFrequency (%) 
71341744012.0%
 
45725513612.0%
 
34926480812.0%
 
29993779612.0%
 
27114094812.0%
 

1993Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110161498.8
Minimum9526952
Maximum716739096
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:06.005413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum9526952
5-th percentile12570580
Q128946154
median67553432
Q3132007098
95-th percentile328444570
Maximum716739096
Range707212144
Interquartile range (IQR)103060944

Descriptive statistics

Standard deviation130755043
Coefficient of variation (CV)1.186939578
Kurtosis9.126384908
Mean110161498.8
Median Absolute Deviation (MAD)45355912
Skewness2.683894657
Sum5618236440
Variance1.709688126e+16
MonotocityNot monotonic
2020-11-24T21:53:06.135548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15066162812.0%
 
20105565612.0%
 
2361488412.0%
 
3045010412.0%
 
3205381212.0%
 
2219752012.0%
 
9959160812.0%
 
13884600812.0%
 
46793794412.0%
 
1152951212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
952695212.0%
 
1146917212.0%
 
1152951212.0%
 
1361164812.0%
 
1474560412.0%
 
ValueCountFrequency (%) 
71673909612.0%
 
46793794412.0%
 
35352509612.0%
 
30336404412.0%
 
27436617612.0%
 

1993Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110931791.5
Minimum9557076
Maximum717814724
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:06.272260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum9557076
5-th percentile12566686
Q128954774
median67976800
Q3132670622
95-th percentile330286432
Maximum717814724
Range708257648
Interquartile range (IQR)103715848

Descriptive statistics

Standard deviation131422136.4
Coefficient of variation (CV)1.184711205
Kurtosis8.978623393
Mean110931791.5
Median Absolute Deviation (MAD)45415264
Skewness2.665672299
Sum5657521364
Variance1.727177793e+16
MonotocityNot monotonic
2020-11-24T21:53:06.403003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
955707612.0%
 
11590992012.0%
 
13983953612.0%
 
7604805212.0%
 
15176435212.0%
 
15589828812.0%
 
5801214412.0%
 
7668384412.0%
 
27679710012.0%
 
9941484812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
955707612.0%
 
1159636812.0%
 
1160996012.0%
 
1352341212.0%
 
1484858012.0%
 
ValueCountFrequency (%) 
71781472412.0%
 
47336498012.0%
 
35521318812.0%
 
30535967612.0%
 
27679710012.0%
 

1993Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112472060.1
Minimum9743104
Maximum724877252
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:06.537265image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum9743104
5-th percentile12734872
Q129280052
median69094116
Q3134721570
95-th percentile334795338
Maximum724877252
Range715134148
Interquartile range (IQR)105441518

Descriptive statistics

Standard deviation132981366.8
Coefficient of variation (CV)1.182350237
Kurtosis8.891212834
Mean112472060.1
Median Absolute Deviation (MAD)46604588
Skewness2.654399551
Sum5736075064
Variance1.768404393e+16
MonotocityNot monotonic
2020-11-24T21:53:06.667774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5882783212.0%
 
11831785212.0%
 
1168183212.0%
 
36117332012.0%
 
3387768012.0%
 
3367004412.0%
 
1503082812.0%
 
14438568812.0%
 
10939191212.0%
 
2400495612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
974310412.0%
 
1167405612.0%
 
1168183212.0%
 
1378791212.0%
 
1503082812.0%
 
ValueCountFrequency (%) 
72487725212.0%
 
48051090412.0%
 
36117332012.0%
 
30841735612.0%
 
28077758412.0%
 

1994Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113518531.3
Minimum9799768
Maximum728905420
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:06.801960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum9799768
5-th percentile13483642
Q129706954
median69765632
Q3137051800
95-th percentile338344722
Maximum728905420
Range719105652
Interquartile range (IQR)107344846

Descriptive statistics

Standard deviation133082033.8
Coefficient of variation (CV)1.172337523
Kurtosis8.930271054
Mean113518531.3
Median Absolute Deviation (MAD)47141940
Skewness2.647239856
Sum5789445096
Variance1.771082771e+16
MonotocityNot monotonic
2020-11-24T21:53:06.934033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2684836812.0%
 
1181534012.0%
 
47110823612.0%
 
11002873212.0%
 
979976812.0%
 
11067500012.0%
 
1529445612.0%
 
2962501212.0%
 
14587723612.0%
 
6775124012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
979976812.0%
 
1181534012.0%
 
1248718012.0%
 
1448010412.0%
 
1517472012.0%
 
ValueCountFrequency (%) 
72890542012.0%
 
47110823612.0%
 
36445777612.0%
 
31223166812.0%
 
28309446412.0%
 

1994Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115631733.6
Minimum9965880
Maximum738685252
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:07.069288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum9965880
5-th percentile13519930
Q130005436
median71102136
Q3139545966
95-th percentile345253042
Maximum738685252
Range728719372
Interquartile range (IQR)109540530

Descriptive statistics

Standard deviation135498827
Coefficient of variation (CV)1.171813504
Kurtosis8.768967663
Mean115631733.6
Median Absolute Deviation (MAD)48322380
Skewness2.6299617
Sum5897218416
Variance1.835993213e+16
MonotocityNot monotonic
2020-11-24T21:53:07.201442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2739947212.0%
 
12577257612.0%
 
8668538012.0%
 
10571718012.0%
 
28875999212.0%
 
37185538012.0%
 
10564510812.0%
 
4451012812.0%
 
11217591612.0%
 
1556864812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
996588012.0%
 
1203778012.0%
 
1246103612.0%
 
1457882412.0%
 
1526310812.0%
 
ValueCountFrequency (%) 
73868525212.0%
 
48450707212.0%
 
37185538012.0%
 
31865070412.0%
 
28875999212.0%
 

1994Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116914740.1
Minimum10060304
Maximum743492372
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:07.343812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10060304
5-th percentile13541922
Q130464266
median71694188
Q3141306534
95-th percentile349854678
Maximum743492372
Range733432068
Interquartile range (IQR)110842268

Descriptive statistics

Standard deviation136552849.6
Coefficient of variation (CV)1.167969493
Kurtosis8.664317317
Mean116914740.1
Median Absolute Deviation (MAD)48868276
Skewness2.61312134
Sum5962651744
Variance1.864668075e+16
MonotocityNot monotonic
2020-11-24T21:53:07.474511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5907461612.0%
 
37727350012.0%
 
1457119612.0%
 
2282591212.0%
 
16026466812.0%
 
5603307612.0%
 
3558111612.0%
 
15143288012.0%
 
4461202412.0%
 
8503049612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1006030412.0%
 
1217984412.0%
 
1251264812.0%
 
1457119612.0%
 
1537342012.0%
 
ValueCountFrequency (%) 
74349237212.0%
 
48589041212.0%
 
37727350012.0%
 
32243585612.0%
 
29275258812.0%
 

1994Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119057818.5
Minimum10264776
Maximum752907752
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:07.617916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10264776
5-th percentile13806622
Q131007268
median72946364
Q3143757220
95-th percentile357650902
Maximum752907752
Range742642976
Interquartile range (IQR)112749952

Descriptive statistics

Standard deviation138910188.3
Coefficient of variation (CV)1.16674562
Kurtosis8.500548579
Mean119057818.5
Median Absolute Deviation (MAD)49707320
Skewness2.59485552
Sum6071948744
Variance1.92960404e+16
MonotocityNot monotonic
2020-11-24T21:53:07.755469image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15387820012.0%
 
2244419212.0%
 
3625718812.0%
 
1603615212.0%
 
49774635612.0%
 
12922600012.0%
 
5688315612.0%
 
1489348412.0%
 
10193194412.0%
 
10994448412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1026477612.0%
 
1245890412.0%
 
1271976012.0%
 
1489348412.0%
 
1549365212.0%
 
ValueCountFrequency (%) 
75290775212.0%
 
49774635612.0%
 
38683990412.0%
 
32846190012.0%
 
29733097212.0%
 

1995Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120963454.5
Minimum10365380
Maximum767128940
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:07.901844image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10365380
5-th percentile13609850
Q131414438
median73639604
Q3146315272
95-th percentile364609390
Maximum767128940
Range756763560
Interquartile range (IQR)114900834

Descriptive statistics

Standard deviation141350270.3
Coefficient of variation (CV)1.168536984
Kurtosis8.548602233
Mean120963454.5
Median Absolute Deviation (MAD)50013568
Skewness2.599945369
Sum6169136180
Variance1.997989892e+16
MonotocityNot monotonic
2020-11-24T21:53:08.037099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1626228412.0%
 
7363960412.0%
 
1258937212.0%
 
2362603612.0%
 
76712894012.0%
 
1463032812.0%
 
13559566412.0%
 
2546183612.0%
 
25075909212.0%
 
3064918812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1036538012.0%
 
1235705612.0%
 
1258937212.0%
 
1463032812.0%
 
1567336812.0%
 
ValueCountFrequency (%) 
76712894012.0%
 
50450036012.0%
 
39214105212.0%
 
33707772812.0%
 
30352139612.0%
 

1995Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122251267.5
Minimum10485420
Maximum774621296
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:08.181618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10485420
5-th percentile13717836
Q131705360
median74433168
Q3147904162
95-th percentile370176326
Maximum774621296
Range764135876
Interquartile range (IQR)116198802

Descriptive statistics

Standard deviation142807838.2
Coefficient of variation (CV)1.168150164
Kurtosis8.520331981
Mean122251267.5
Median Absolute Deviation (MAD)50346620
Skewness2.596657514
Sum6234814644
Variance2.039407866e+16
MonotocityNot monotonic
2020-11-24T21:53:08.315627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
77462129612.0%
 
3954901612.0%
 
11383605212.0%
 
1475371612.0%
 
7321928812.0%
 
6313707212.0%
 
15923234412.0%
 
1048542012.0%
 
39865205612.0%
 
7112938012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1048542012.0%
 
1255775612.0%
 
1268195612.0%
 
1475371612.0%
 
1566780012.0%
 
ValueCountFrequency (%) 
77462129612.0%
 
50871247612.0%
 
39865205612.0%
 
34170059612.0%
 
30598006012.0%
 

1995Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123769008.6
Minimum10529060
Maximum785172712
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:08.457372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10529060
5-th percentile13943738
Q131770520
median75073880
Q3149262190
95-th percentile375553738
Maximum785172712
Range774643652
Interquartile range (IQR)117491670

Descriptive statistics

Standard deviation144688103.9
Coefficient of variation (CV)1.169017232
Kurtosis8.546536854
Mean123769008.6
Median Absolute Deviation (MAD)50728868
Skewness2.600677002
Sum6312219440
Variance2.093464741e+16
MonotocityNot monotonic
2020-11-24T21:53:08.595984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8581452412.0%
 
3762284412.0%
 
28917153212.0%
 
2434501212.0%
 
40441985612.0%
 
3275755212.0%
 
30980043212.0%
 
1052906012.0%
 
13454519212.0%
 
9580120812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1052906012.0%
 
1261988412.0%
 
1287872412.0%
 
1500875212.0%
 
1576310412.0%
 
ValueCountFrequency (%) 
78517271212.0%
 
51511322812.0%
 
40441985612.0%
 
34668762012.0%
 
30980043212.0%
 

1995Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125232818.4
Minimum10587884
Maximum791406968
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:08.737958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10587884
5-th percentile14162130
Q131931900
median76049104
Q3151354908
95-th percentile381322604
Maximum791406968
Range780819084
Interquartile range (IQR)119423008

Descriptive statistics

Standard deviation146063000.8
Coefficient of variation (CV)1.166331659
Kurtosis8.448669559
Mean125232818.4
Median Absolute Deviation (MAD)51662412
Skewness2.58639422
Sum6386873736
Variance2.133440019e+16
MonotocityNot monotonic
2020-11-24T21:53:08.871560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7476006012.0%
 
2429890812.0%
 
4823234812.0%
 
8647978812.0%
 
7604910412.0%
 
1297974412.0%
 
1058788412.0%
 
16456285612.0%
 
11492509212.0%
 
13814696012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1058788412.0%
 
1278049612.0%
 
1297974412.0%
 
1534451612.0%
 
1585282812.0%
 
ValueCountFrequency (%) 
79140696812.0%
 
51819343612.0%
 
41072036412.0%
 
35192484412.0%
 
31439293212.0%
 

1996Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127546944
Minimum10721528
Maximum809960204
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:09.012846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10721528
5-th percentile14825462
Q132078480
median77275348
Q3153469282
95-th percentile388845428
Maximum809960204
Range799238676
Interquartile range (IQR)121390802

Descriptive statistics

Standard deviation149038021.7
Coefficient of variation (CV)1.168495434
Kurtosis8.598394852
Mean127546944
Median Absolute Deviation (MAD)52712092
Skewness2.608004667
Sum6504894144
Variance2.22123319e+16
MonotocityNot monotonic
2020-11-24T21:53:09.146974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11812050412.0%
 
26034008012.0%
 
1370844812.0%
 
4267678812.0%
 
12274095212.0%
 
32089843212.0%
 
23420600012.0%
 
1326232012.0%
 
13986154412.0%
 
35828227212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1072152812.0%
 
1326232012.0%
 
1370844812.0%
 
1594247612.0%
 
1628069612.0%
 
ValueCountFrequency (%) 
80996020412.0%
 
52844001212.0%
 
41940858412.0%
 
35828227212.0%
 
32089843212.0%
 

1996Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130092709.4
Minimum10902292
Maximum824767920
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:09.287864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10902292
5-th percentile15201178
Q132368342
median79225564
Q3157099822
95-th percentile396639054
Maximum824767920
Range813865628
Interquartile range (IQR)124731480

Descriptive statistics

Standard deviation151781558
Coefficient of variation (CV)1.166718402
Kurtosis8.569846554
Mean130092709.4
Median Absolute Deviation (MAD)54047232
Skewness2.602193688
Sum6634728180
Variance2.303764136e+16
MonotocityNot monotonic
2020-11-24T21:53:09.429150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
26530078412.0%
 
18151094412.0%
 
6159046812.0%
 
5037408012.0%
 
42861510012.0%
 
4107026412.0%
 
7799646812.0%
 
82476792012.0%
 
12577952412.0%
 
1672695212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1090229212.0%
 
1344112812.0%
 
1433542812.0%
 
1606692812.0%
 
1672695212.0%
 
ValueCountFrequency (%) 
82476792012.0%
 
53690338812.0%
 
42861510012.0%
 
36466300812.0%
 
32637452412.0%
 

1996Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131540451
Minimum11048424
Maximum833791748
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:09.575171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11048424
5-th percentile15186576
Q132794058
median80061684
Q3159077110
95-th percentile402313416
Maximum833791748
Range822743324
Interquartile range (IQR)126283052

Descriptive statistics

Standard deviation153439029.4
Coefficient of variation (CV)1.166477903
Kurtosis8.545114656
Mean131540451
Median Absolute Deviation (MAD)54948280
Skewness2.596671437
Sum6708563000
Variance2.354353575e+16
MonotocityNot monotonic
2020-11-24T21:53:09.703024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4495172012.0%
 
18367809612.0%
 
17324728812.0%
 
4049762812.0%
 
14490693212.0%
 
7832702812.0%
 
3436024012.0%
 
11135688412.0%
 
8968048012.0%
 
12250513212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1104842412.0%
 
1355199212.0%
 
1411276412.0%
 
1626038812.0%
 
1648789212.0%
 
ValueCountFrequency (%) 
83379174812.0%
 
53950046012.0%
 
43562953212.0%
 
36899730012.0%
 
33038322812.0%
 

1996Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133305934.8
Minimum11145364
Maximum846769816
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:09.836331image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11145364
5-th percentile15262010
Q133158678
median80980656
Q3161712470
95-th percentile408273134
Maximum846769816
Range835624452
Interquartile range (IQR)128553792

Descriptive statistics

Standard deviation155758412.4
Coefficient of variation (CV)1.168428192
Kurtosis8.584006679
Mean133305934.8
Median Absolute Deviation (MAD)55533064
Skewness2.602958064
Sum6798602676
Variance2.426068303e+16
MonotocityNot monotonic
2020-11-24T21:53:09.962163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6819020412.0%
 
10134250012.0%
 
9039634412.0%
 
14599067612.0%
 
3085942412.0%
 
8098065612.0%
 
6769847612.0%
 
84676981612.0%
 
2544759212.0%
 
3487272412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1114536412.0%
 
1361364412.0%
 
1412771212.0%
 
1639630812.0%
 
1652184012.0%
 
ValueCountFrequency (%) 
84676981612.0%
 
54794354012.0%
 
44296032012.0%
 
37358594812.0%
 
33462147212.0%
 

1997Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135756145.3
Minimum11539220
Maximum859715140
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:10.093647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11539220
5-th percentile15281408
Q133761162
median83065088
Q3166290958
95-th percentile418166470
Maximum859715140
Range848175920
Interquartile range (IQR)132529796

Descriptive statistics

Standard deviation158359886.4
Coefficient of variation (CV)1.166502527
Kurtosis8.51050094
Mean135756145.3
Median Absolute Deviation (MAD)57080588
Skewness2.592381606
Sum6923563408
Variance2.507785363e+16
MonotocityNot monotonic
2020-11-24T21:53:10.218555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
55547660412.0%
 
10660778812.0%
 
1668908812.0%
 
27689119212.0%
 
13046329212.0%
 
18110431212.0%
 
12490130012.0%
 
18345163612.0%
 
5221155612.0%
 
31193847612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1153922012.0%
 
1350622012.0%
 
1392183612.0%
 
1664098012.0%
 
1668908812.0%
 
ValueCountFrequency (%) 
85971514012.0%
 
55547660412.0%
 
45633643612.0%
 
37999650412.0%
 
33833573212.0%
 

1997Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137353288.1
Minimum11636228
Maximum872611236
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:10.350151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11636228
5-th percentile15326486
Q134189688
median83639096
Q3168161386
95-th percentile424744656
Maximum872611236
Range860975008
Interquartile range (IQR)133971698

Descriptive statistics

Standard deviation160600060.7
Coefficient of variation (CV)1.169248024
Kurtosis8.56004105
Mean137353288.1
Median Absolute Deviation (MAD)57318108
Skewness2.600044414
Sum7005017692
Variance2.57923795e+16
MonotocityNot monotonic
2020-11-24T21:53:10.480515image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1703017212.0%
 
3535880412.0%
 
3589330812.0%
 
12688210012.0%
 
87261123612.0%
 
8363909612.0%
 
18250372412.0%
 
7025671612.0%
 
1785464412.0%
 
8242106412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1163622812.0%
 
1365633212.0%
 
1402778412.0%
 
1662518812.0%
 
1703017212.0%
 
ValueCountFrequency (%) 
87261123612.0%
 
56138556812.0%
 
46512800812.0%
 
38436130412.0%
 
34294113612.0%
 

1997Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139575984.9
Minimum11804340
Maximum888631784
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:10.614496image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11804340
5-th percentile15618836
Q134591508
median84512772
Q3170653514
95-th percentile433123860
Maximum888631784
Range876827444
Interquartile range (IQR)136062006

Descriptive statistics

Standard deviation163547440.3
Coefficient of variation (CV)1.171744841
Kurtosis8.58934635
Mean139575984.9
Median Absolute Deviation (MAD)58010884
Skewness2.606540964
Sum7118375232
Variance2.674776523e+16
MonotocityNot monotonic
2020-11-24T21:53:10.740248image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
31900697212.0%
 
13391811612.0%
 
4880569212.0%
 
2886024012.0%
 
1714796012.0%
 
2055588012.0%
 
57209016412.0%
 
19491690412.0%
 
9394126012.0%
 
1180434012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1180434012.0%
 
1391951612.0%
 
1421168012.0%
 
1702599212.0%
 
1714796012.0%
 
ValueCountFrequency (%) 
88863178412.0%
 
57209016412.0%
 
47540400412.0%
 
39084371612.0%
 
34866658812.0%
 

1997Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142226895.5
Minimum11942360
Maximum906656888
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:10.868943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11942360
5-th percentile15862054
Q135126318
median85957696
Q3174342548
95-th percentile440656268
Maximum906656888
Range894714528
Interquartile range (IQR)139216230

Descriptive statistics

Standard deviation166801810.3
Coefficient of variation (CV)1.172786693
Kurtosis8.618213978
Mean142226895.5
Median Absolute Deviation (MAD)58860228
Skewness2.610392228
Sum7253571668
Variance2.782284393e+16
MonotocityNot monotonic
2020-11-24T21:53:10.998406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2709746812.0%
 
12107830012.0%
 
19142680812.0%
 
19873603212.0%
 
1844574812.0%
 
7215932412.0%
 
2085803212.0%
 
6754154412.0%
 
58430481212.0%
 
1711658412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1194236012.0%
 
1415204812.0%
 
1460752412.0%
 
1711658412.0%
 
1732467612.0%
 
ValueCountFrequency (%) 
90665688812.0%
 
58430481212.0%
 
48439078812.0%
 
39692174812.0%
 
35548699212.0%
 

1998Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145399684.8
Minimum12175744
Maximum936095920
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:11.122625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12175744
5-th percentile16323980
Q135902022
median87513408
Q3179054636
95-th percentile455404336
Maximum936095920
Range923920176
Interquartile range (IQR)143152614

Descriptive statistics

Standard deviation170812499.5
Coefficient of variation (CV)1.174779022
Kurtosis8.924659348
Mean145399684.8
Median Absolute Deviation (MAD)59712996
Skewness2.64545394
Sum7415383924
Variance2.917690998e+16
MonotocityNot monotonic
2020-11-24T21:53:11.252004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8565964412.0%
 
1496903212.0%
 
4354650412.0%
 
26503109612.0%
 
9645406812.0%
 
32799326412.0%
 
7201335612.0%
 
35840584012.0%
 
29276394012.0%
 
9828880812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1217574412.0%
 
1490393212.0%
 
1496903212.0%
 
1767892812.0%
 
1780132412.0%
 
ValueCountFrequency (%) 
93609592012.0%
 
58536199612.0%
 
50091181212.0%
 
40989686012.0%
 
35840584012.0%
 

1998Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147893582.3
Minimum12407872
Maximum947434740
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:11.382508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12407872
5-th percentile16467110
Q136524160
median88886816
Q3182118504
95-th percentile463232452
Maximum947434740
Range935026868
Interquartile range (IQR)145594344

Descriptive statistics

Standard deviation173607633.2
Coefficient of variation (CV)1.173868606
Kurtosis8.765252702
Mean147893582.3
Median Absolute Deviation (MAD)60745988
Skewness2.626988137
Sum7542572696
Variance3.013961031e+16
MonotocityNot monotonic
2020-11-24T21:53:11.512490image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1519961212.0%
 
50889136412.0%
 
7267500412.0%
 
16854817612.0%
 
26809614412.0%
 
7458744412.0%
 
33391438412.0%
 
36587729612.0%
 
4452216412.0%
 
9804061612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1240787212.0%
 
1504847612.0%
 
1519961212.0%
 
1773460812.0%
 
1798118012.0%
 
ValueCountFrequency (%) 
94743474012.0%
 
60036764812.0%
 
50889136412.0%
 
41757354012.0%
 
36587729612.0%
 

1998Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150003047.8
Minimum12611500
Maximum964990828
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:11.641074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12611500
5-th percentile16634408
Q137157432
median90215588
Q3185522138
95-th percentile470486184
Maximum964990828
Range952379328
Interquartile range (IQR)148364706

Descriptive statistics

Standard deviation176234221.6
Coefficient of variation (CV)1.174870938
Kurtosis8.89491105
Mean150003047.8
Median Absolute Deviation (MAD)61742936
Skewness2.641398365
Sum7650155440
Variance3.105850086e+16
MonotocityNot monotonic
2020-11-24T21:53:11.778280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3723558012.0%
 
12470059212.0%
 
11873348012.0%
 
7494866812.0%
 
29963823612.0%
 
7060907612.0%
 
3707928412.0%
 
4850016012.0%
 
20190602012.0%
 
17146206412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1261150012.0%
 
1521299212.0%
 
1543185612.0%
 
1783696012.0%
 
1807592412.0%
 
ValueCountFrequency (%) 
96499082812.0%
 
60471950012.0%
 
51764233212.0%
 
42333003612.0%
 
37137990812.0%
 

1998Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151896077.3
Minimum12690708
Maximum982166088
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:11.916083image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12690708
5-th percentile16843760
Q137597748
median91654636
Q3188334064
95-th percentile475396916
Maximum982166088
Range969475380
Interquartile range (IQR)150736316

Descriptive statistics

Standard deviation178704216.4
Coefficient of variation (CV)1.176490003
Kurtosis9.04544127
Mean151896077.3
Median Absolute Deviation (MAD)62681732
Skewness2.658008996
Sum7746699940
Variance3.193519697e+16
MonotocityNot monotonic
2020-11-24T21:53:12.052015image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14354175612.0%
 
1269070812.0%
 
27508424412.0%
 
2875089212.0%
 
12110441612.0%
 
16683050412.0%
 
20518591212.0%
 
2157565612.0%
 
7127657612.0%
 
12502082812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1269070812.0%
 
1542290412.0%
 
1559271612.0%
 
1809480412.0%
 
1862632012.0%
 
ValueCountFrequency (%) 
98216608812.0%
 
60919303212.0%
 
52336027612.0%
 
42743355612.0%
 
37461489212.0%
 

1999Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153732716.5
Minimum13031924
Maximum994318608
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:12.187848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum13031924
5-th percentile17054664
Q137850512
median91891340
Q3191200416
95-th percentile481369534
Maximum994318608
Range981286684
Interquartile range (IQR)153349904

Descriptive statistics

Standard deviation181520617.6
Coefficient of variation (CV)1.180754635
Kurtosis8.983635992
Mean153732716.5
Median Absolute Deviation (MAD)62224808
Skewness2.656515755
Sum7840368544
Variance3.294973462e+16
MonotocityNot monotonic
2020-11-24T21:53:12.326623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14664917212.0%
 
21440758012.0%
 
3301408812.0%
 
29736901612.0%
 
8903732412.0%
 
3763140412.0%
 
4566672812.0%
 
14385885212.0%
 
1500271212.0%
 
2880627212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1303192412.0%
 
1500271212.0%
 
1589332012.0%
 
1821600812.0%
 
1850060812.0%
 
ValueCountFrequency (%) 
99431860812.0%
 
62830438012.0%
 
53016804812.0%
 
43257102012.0%
 
37819923212.0%
 

1999Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155072564.1
Minimum13185960
Maximum1007996272
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:12.461199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum13185960
5-th percentile17221480
Q138150976
median92847172
Q3191716100
95-th percentile486457256
Maximum1007996272
Range994810312
Interquartile range (IQR)153565124

Descriptive statistics

Standard deviation183339365.2
Coefficient of variation (CV)1.182281123
Kurtosis9.129288567
Mean155072564.1
Median Absolute Deviation (MAD)63049060
Skewness2.673234671
Sum7908700768
Variance3.361332284e+16
MonotocityNot monotonic
2020-11-24T21:53:12.596902image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7465989612.0%
 
9223657212.0%
 
13073619212.0%
 
14551724012.0%
 
21127170012.0%
 
2203077212.0%
 
21607858012.0%
 
17132305612.0%
 
4632990012.0%
 
3210522412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1318596012.0%
 
1515662412.0%
 
1612426412.0%
 
1831869612.0%
 
1885195212.0%
 
ValueCountFrequency (%) 
100799627212.0%
 
62904546812.0%
 
53500630412.0%
 
43790820812.0%
 
38131376412.0%
 

1999Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157147201.2
Minimum13406352
Maximum1024616636
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:12.734748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum13406352
5-th percentile17390326
Q138438528
median94233572
Q3195556476
95-th percentile492786002
Maximum1024616636
Range1011210284
Interquartile range (IQR)157117948

Descriptive statistics

Standard deviation186056947.9
Coefficient of variation (CV)1.18396603
Kurtosis9.221689528
Mean157147201.2
Median Absolute Deviation (MAD)64055340
Skewness2.685481212
Sum8014507260
Variance3.461718787e+16
MonotocityNot monotonic
2020-11-24T21:53:12.874219image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
35009822412.0%
 
2435280412.0%
 
9321094012.0%
 
30280949212.0%
 
3807762412.0%
 
14699317212.0%
 
3918861212.0%
 
102461663612.0%
 
5863492812.0%
 
17415328412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1340635212.0%
 
1535253212.0%
 
1643963212.0%
 
1834102012.0%
 
1903626812.0%
 
ValueCountFrequency (%) 
102461663612.0%
 
63935993212.0%
 
54149895612.0%
 
44407304812.0%
 
38253221612.0%
 

1999Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160571675.1
Minimum13780664
Maximum1056525372
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:13.010063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum13780664
5-th percentile17788186
Q139046006
median95661440
Q3200020508
95-th percentile503418254
Maximum1056525372
Range1042744708
Interquartile range (IQR)160974502

Descriptive statistics

Standard deviation190524874.8
Coefficient of variation (CV)1.186540993
Kurtosis9.509677012
Mean160571675.1
Median Absolute Deviation (MAD)64653044
Skewness2.717330886
Sum8189155428
Variance3.629972791e+16
MonotocityNot monotonic
2020-11-24T21:53:13.146620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9534822012.0%
 
5192766012.0%
 
9341380812.0%
 
15103341212.0%
 
17750980412.0%
 
10185811212.0%
 
55664631212.0%
 
3027695612.0%
 
3297910812.0%
 
105652537212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1378066412.0%
 
1582911212.0%
 
1673222012.0%
 
1884415212.0%
 
1972032412.0%
 
ValueCountFrequency (%) 
105652537212.0%
 
64372338412.0%
 
55664631212.0%
 
45019019612.0%
 
39158793612.0%
 

2000Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165556131.1
Minimum14081596
Maximum1093031416
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:13.282094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14081596
5-th percentile18353462
Q140071838
median98323592
Q3205254400
95-th percentile521697934
Maximum1093031416
Range1078949820
Interquartile range (IQR)165182562

Descriptive statistics

Standard deviation197112935.3
Coefficient of variation (CV)1.190610906
Kurtosis9.5359646
Mean165556131.1
Median Absolute Deviation (MAD)66529640
Skewness2.722776344
Sum8443362684
Variance3.885350925e+16
MonotocityNot monotonic
2020-11-24T21:53:13.422456image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5297672412.0%
 
21618665212.0%
 
4066475612.0%
 
13213412812.0%
 
23950506812.0%
 
7460318812.0%
 
3118257212.0%
 
46805264812.0%
 
1983895612.0%
 
2428816412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1408159612.0%
 
1637322012.0%
 
1723259612.0%
 
1947432812.0%
 
1983895612.0%
 
ValueCountFrequency (%) 
109303141612.0%
 
66518612412.0%
 
57534322012.0%
 
46805264812.0%
 
40418639212.0%
 

2000Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168127466.4
Minimum14223184
Maximum1111607136
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:13.554723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14223184
5-th percentile18702256
Q140878080
median100277464
Q3207044316
95-th percentile528802520
Maximum1111607136
Range1097383952
Interquartile range (IQR)166166236

Descriptive statistics

Standard deviation200201283.4
Coefficient of variation (CV)1.190770834
Kurtosis9.603386423
Mean168127466.4
Median Absolute Deviation (MAD)67685852
Skewness2.731823492
Sum8574500788
Variance4.008055387e+16
MonotocityNot monotonic
2020-11-24T21:53:13.683275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4160511612.0%
 
33005141212.0%
 
15789219212.0%
 
2021252412.0%
 
2432993612.0%
 
1762284812.0%
 
10568184012.0%
 
1422318412.0%
 
1978166412.0%
 
4931549212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1422318412.0%
 
1659329612.0%
 
1762284812.0%
 
1978166412.0%
 
2021252412.0%
 
ValueCountFrequency (%) 
111160713612.0%
 
67569164012.0%
 
58504851612.0%
 
47255652412.0%
 
40961211612.0%
 

2000Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171016177
Minimum14295644
Maximum1146746464
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:13.821656image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14295644
5-th percentile18865126
Q141281006
median101487828
Q3208475408
95-th percentile538290088
Maximum1146746464
Range1132450820
Interquartile range (IQR)167194402

Descriptive statistics

Standard deviation205136343.9
Coefficient of variation (CV)1.199514265
Kurtosis9.970836578
Mean171016177
Median Absolute Deviation (MAD)68784616
Skewness2.778836071
Sum8721825028
Variance4.20809196e+16
MonotocityNot monotonic
2020-11-24T21:53:13.958369image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1690422012.0%
 
22349248412.0%
 
68624226812.0%
 
37651602012.0%
 
23503495212.0%
 
4043629212.0%
 
3270321212.0%
 
15709124012.0%
 
2043613212.0%
 
6155693612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1429564412.0%
 
1690422012.0%
 
1765934812.0%
 
2007090412.0%
 
2043613212.0%
 
ValueCountFrequency (%) 
114674646412.0%
 
68624226812.0%
 
59604401212.0%
 
48053616412.0%
 
41744906012.0%
 

2000Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172543127.5
Minimum14670508
Maximum1147991136
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:14.101096image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14670508
5-th percentile19070746
Q141970158
median102258540
Q3209849468
95-th percentile544809630
Maximum1147991136
Range1133320628
Interquartile range (IQR)167879310

Descriptive statistics

Standard deviation206733675.5
Coefficient of variation (CV)1.198156534
Kurtosis9.6957909
Mean172543127.5
Median Absolute Deviation (MAD)68953940
Skewness2.75090208
Sum8799699500
Variance4.27388126e+16
MonotocityNot monotonic
2020-11-24T21:53:14.237606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2766768012.0%
 
2017500812.0%
 
10963679612.0%
 
3249648412.0%
 
32549329612.0%
 
7719274812.0%
 
16258681212.0%
 
8151990812.0%
 
6567159212.0%
 
9948610012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1467050812.0%
 
1691082412.0%
 
1796648412.0%
 
2017500812.0%
 
2056425212.0%
 
ValueCountFrequency (%) 
114799113612.0%
 
70333556812.0%
 
60150060412.0%
 
48811865612.0%
 
42012620812.0%
 

2001Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175625704.2
Minimum14890388
Maximum1165227380
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:14.374365image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14890388
5-th percentile19515846
Q143024244
median103113996
Q3212591926
95-th percentile561455908
Maximum1165227380
Range1150336992
Interquartile range (IQR)169567682

Descriptive statistics

Standard deviation210224718.4
Coefficient of variation (CV)1.197004274
Kurtosis9.611242225
Mean175625704.2
Median Absolute Deviation (MAD)69282404
Skewness2.743025215
Sum8956910912
Variance4.419443224e+16
MonotocityNot monotonic
2020-11-24T21:53:14.513186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3317060012.0%
 
5603138812.0%
 
22695313612.0%
 
2582696812.0%
 
3383159212.0%
 
1489038812.0%
 
25699374012.0%
 
71074768412.0%
 
3638898012.0%
 
16129974012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1489038812.0%
 
1692366412.0%
 
1850888812.0%
 
2052280412.0%
 
2090576012.0%
 
ValueCountFrequency (%) 
116522738012.0%
 
71074768412.0%
 
62525278812.0%
 
49765902812.0%
 
42676852012.0%
 

2001Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176345607.1
Minimum15151424
Maximum1163961540
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:14.652018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum15151424
5-th percentile19865074
Q143641672
median103847428
Q3214781590
95-th percentile564992196
Maximum1163961540
Range1148810116
Interquartile range (IQR)171139918

Descriptive statistics

Standard deviation210039337.4
Coefficient of variation (CV)1.191066456
Kurtosis9.539098844
Mean176345607.1
Median Absolute Deviation (MAD)69660828
Skewness2.729800684
Sum8993625964
Variance4.411652323e+16
MonotocityNot monotonic
2020-11-24T21:53:14.791276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15930575612.0%
 
8795949212.0%
 
5166521212.0%
 
24812062812.0%
 
50335950812.0%
 
15607198812.0%
 
10368229212.0%
 
11187152812.0%
 
1707153212.0%
 
3350600012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1515142412.0%
 
1707153212.0%
 
1870714812.0%
 
2102300012.0%
 
2109362412.0%
 
ValueCountFrequency (%) 
116396154012.0%
 
70579378412.0%
 
62662488412.0%
 
50335950812.0%
 
42575345612.0%
 

2001Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176217182.6
Minimum15221244
Maximum1155954772
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:14.926769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum15221244
5-th percentile19865826
Q143910396
median104028876
Q3213304372
95-th percentile565819000
Maximum1155954772
Range1140733528
Interquartile range (IQR)169393976

Descriptive statistics

Standard deviation209914540.3
Coefficient of variation (CV)1.191226288
Kurtosis9.318404624
Mean176217182.6
Median Absolute Deviation (MAD)69952628
Skewness2.710389377
Sum8987076312
Variance4.406411422e+16
MonotocityNot monotonic
2020-11-24T21:53:16.494886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3748471212.0%
 
17547588812.0%
 
3689146012.0%
 
1712619612.0%
 
6415863612.0%
 
7916102012.0%
 
16675870812.0%
 
5160186412.0%
 
6472671212.0%
 
2207954012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1522124412.0%
 
1712619612.0%
 
1866918012.0%
 
2106247212.0%
 
2115924012.0%
 
ValueCountFrequency (%) 
115595477212.0%
 
71902320412.0%
 
62634954812.0%
 
50528845212.0%
 
42581030412.0%
 

2001Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176744055.1
Minimum15443180
Maximum1158714824
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:16.636644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum15443180
5-th percentile20021936
Q144533690
median104662156
Q3214942630
95-th percentile568345404
Maximum1158714824
Range1143271644
Interquartile range (IQR)170408940

Descriptive statistics

Standard deviation209617909.5
Coefficient of variation (CV)1.185996945
Kurtosis9.381811111
Mean176744055.1
Median Absolute Deviation (MAD)70493164
Skewness2.708741693
Sum9013946812
Variance4.393966797e+16
MonotocityNot monotonic
2020-11-24T21:53:16.775317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
17582390012.0%
 
30671106412.0%
 
3416899212.0%
 
2122571612.0%
 
70279134012.0%
 
16644150412.0%
 
33395180812.0%
 
5212906412.0%
 
15417048412.0%
 
5722800812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1544318012.0%
 
1702575612.0%
 
1881815612.0%
 
2122571612.0%
 
2131632812.0%
 
ValueCountFrequency (%) 
115871482412.0%
 
70279134012.0%
 
62847561212.0%
 
50821519612.0%
 
42673212412.0%
 

2002Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177523615.5
Minimum15549348
Maximum1168845560
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:16.914788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum15549348
5-th percentile19940956
Q144811072
median104901412
Q3216150686
95-th percentile571569962
Maximum1168845560
Range1153296212
Interquartile range (IQR)171339614

Descriptive statistics

Standard deviation210895271.1
Coefficient of variation (CV)1.187984317
Kurtosis9.508543656
Mean177523615.5
Median Absolute Deviation (MAD)70326552
Skewness2.725184075
Sum9053704388
Variance4.447681537e+16
MonotocityNot monotonic
2020-11-24T21:53:17.054065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1722171612.0%
 
17567574012.0%
 
7882296812.0%
 
16073058812.0%
 
30362327212.0%
 
11237457612.0%
 
42683894012.0%
 
3457486012.0%
 
14465924412.0%
 
35171400012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1554934812.0%
 
1722171612.0%
 
1897569612.0%
 
2090621612.0%
 
2168475612.0%
 
ValueCountFrequency (%) 
116884556012.0%
 
70560661212.0%
 
62729537612.0%
 
51584454812.0%
 
42683894012.0%
 

2002Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179147332.5
Minimum15639308
Maximum1177638416
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:17.193672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum15639308
5-th percentile19993450
Q145229810
median106506756
Q3218300642
95-th percentile576029950
Maximum1177638416
Range1161999108
Interquartile range (IQR)173070832

Descriptive statistics

Standard deviation212693422
Coefficient of variation (CV)1.187254195
Kurtosis9.457991953
Mean179147332.5
Median Absolute Deviation (MAD)71154756
Skewness2.718355602
Sum9136513960
Variance4.523849178e+16
MonotocityNot monotonic
2020-11-24T21:53:17.332524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1904063612.0%
 
3797120012.0%
 
17162479212.0%
 
3477974412.0%
 
23140932412.0%
 
63155946012.0%
 
30882653612.0%
 
6532696812.0%
 
4402875212.0%
 
3045481612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1563930812.0%
 
1722498412.0%
 
1904063612.0%
 
2094626412.0%
 
2182123612.0%
 
ValueCountFrequency (%) 
117763841612.0%
 
71303414812.0%
 
63155946012.0%
 
52050044012.0%
 
43283264012.0%
 

2002Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179825811.5
Minimum15714764
Maximum1184949328
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:17.463772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum15714764
5-th percentile20200544
Q145508430
median107013520
Q3219032068
95-th percentile579427700
Maximum1184949328
Range1169234564
Interquartile range (IQR)173523638

Descriptive statistics

Standard deviation213458576.5
Coefficient of variation (CV)1.187029686
Kurtosis9.559394525
Mean179825811.5
Median Absolute Deviation (MAD)71773020
Skewness2.729631201
Sum9171116384
Variance4.556456388e+16
MonotocityNot monotonic
2020-11-24T21:53:17.598088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
63485478012.0%
 
30877097612.0%
 
70995568812.0%
 
20607493212.0%
 
25150584012.0%
 
14673322812.0%
 
25507303212.0%
 
43258640812.0%
 
3501560012.0%
 
1571476412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1571476412.0%
 
1748915212.0%
 
1914154012.0%
 
2125954812.0%
 
2208647612.0%
 
ValueCountFrequency (%) 
118494932812.0%
 
70995568812.0%
 
63485478012.0%
 
52400062012.0%
 
43258640812.0%
 

2002Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181209985.6
Minimum15930880
Maximum1197266044
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:17.729816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum15930880
5-th percentile20473998
Q145885332
median107930008
Q3220272942
95-th percentile585266022
Maximum1197266044
Range1181335164
Interquartile range (IQR)174387610

Descriptive statistics

Standard deviation215131948.9
Coefficient of variation (CV)1.187196987
Kurtosis9.669041735
Mean181209985.6
Median Absolute Deviation (MAD)72148372
Skewness2.742644313
Sum9241709268
Variance4.628175545e+16
MonotocityNot monotonic
2020-11-24T21:53:17.874017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7182148012.0%
 
3952003212.0%
 
25295367612.0%
 
15755397212.0%
 
30988019212.0%
 
2640926412.0%
 
9026820012.0%
 
17226551612.0%
 
10741584412.0%
 
20514628012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1593088012.0%
 
1777460012.0%
 
1937683212.0%
 
2157116412.0%
 
2246202812.0%
 
ValueCountFrequency (%) 
119726604412.0%
 
71111065212.0%
 
64008193212.0%
 
53045011212.0%
 
43539413212.0%
 

2003Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182241951
Minimum16239276
Maximum1211178152
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:18.010006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum16239276
5-th percentile21023240
Q145841928
median108549296
Q3222167190
95-th percentile588775434
Maximum1211178152
Range1194938876
Interquartile range (IQR)176325262

Descriptive statistics

Standard deviation216500403.6
Coefficient of variation (CV)1.187983351
Kurtosis9.894064655
Mean182241951
Median Absolute Deviation (MAD)70726396
Skewness2.767486653
Sum9294339500
Variance4.687242476e+16
MonotocityNot monotonic
2020-11-24T21:53:18.146455image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
121117815212.0%
 
35549635212.0%
 
16964280412.0%
 
5957056012.0%
 
10854929612.0%
 
70607542812.0%
 
17927569212.0%
 
40129447212.0%
 
4445361212.0%
 
6803460012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1623927612.0%
 
1840768812.0%
 
1946828012.0%
 
2257820012.0%
 
2270940412.0%
 
ValueCountFrequency (%) 
121117815212.0%
 
70607542812.0%
 
64487002012.0%
 
53268084812.0%
 
43218202012.0%
 

2003Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184663238.5
Minimum16544236
Maximum1232466292
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:18.277028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum16544236
5-th percentile21328982
Q146164688
median109398232
Q3225301246
95-th percentile596683184
Maximum1232466292
Range1215922056
Interquartile range (IQR)179136558

Descriptive statistics

Standard deviation220093894
Coefficient of variation (CV)1.191866317
Kurtosis9.986317624
Mean184663238.5
Median Absolute Deviation (MAD)71405580
Skewness2.782490137
Sum9417825164
Variance4.844132216e+16
MonotocityNot monotonic
2020-11-24T21:53:18.418094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
23755064812.0%
 
15375786012.0%
 
34559416812.0%
 
16845629612.0%
 
17116946012.0%
 
20972565612.0%
 
11894404812.0%
 
3099740412.0%
 
8157242012.0%
 
9327914812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1654423612.0%
 
1877305212.0%
 
1968339612.0%
 
2297456812.0%
 
2297869612.0%
 
ValueCountFrequency (%) 
123246629212.0%
 
72126216012.0%
 
65381857612.0%
 
53954779212.0%
 
43731346812.0%
 

2003Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187121412
Minimum16914748
Maximum1254274316
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:18.550348image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum16914748
5-th percentile21550048
Q146743200
median110765508
Q3229232028
95-th percentile605345852
Maximum1254274316
Range1237359568
Interquartile range (IQR)182488828

Descriptive statistics

Standard deviation223353911.5
Coefficient of variation (CV)1.193630965
Kurtosis10.12956639
Mean187121412
Median Absolute Deviation (MAD)71569436
Skewness2.799789664
Sum9543192012
Variance4.988696978e+16
MonotocityNot monotonic
2020-11-24T21:53:18.686999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
55007240412.0%
 
4027144012.0%
 
3688542812.0%
 
44150498412.0%
 
8708945612.0%
 
17959597212.0%
 
2442833212.0%
 
21256889612.0%
 
12060368812.0%
 
8251165212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1691474812.0%
 
1911307612.0%
 
1990378412.0%
 
2319631212.0%
 
2325938412.0%
 
ValueCountFrequency (%) 
125427431612.0%
 
72889652812.0%
 
66061930012.0%
 
55007240412.0%
 
44150498412.0%
 

2003Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189834182.8
Minimum17289540
Maximum1270475432
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:18.822804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum17289540
5-th percentile22009564
Q147514302
median112462656
Q3233434402
95-th percentile614901770
Maximum1270475432
Range1253185892
Interquartile range (IQR)185920100

Descriptive statistics

Standard deviation226391254
Coefficient of variation (CV)1.192573701
Kurtosis10.08488812
Mean189834182.8
Median Absolute Deviation (MAD)73985692
Skewness2.793884948
Sum9681543324
Variance5.12529999e+16
MonotocityNot monotonic
2020-11-24T21:53:18.964684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2349474012.0%
 
127047543212.0%
 
5681375612.0%
 
35391596012.0%
 
18644834812.0%
 
10841912412.0%
 
73968695212.0%
 
1938206012.0%
 
17461599212.0%
 
3186231212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1728954012.0%
 
1938206012.0%
 
2052438812.0%
 
2349474012.0%
 
2361734812.0%
 
ValueCountFrequency (%) 
127047543212.0%
 
73968695212.0%
 
66577730412.0%
 
56402623612.0%
 
44602934012.0%
 

2004Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192205871.5
Minimum17410572
Maximum1303657732
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:19.100055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum17410572
5-th percentile22205620
Q147620676
median113541520
Q3239488470
95-th percentile621735494
Maximum1303657732
Range1286247160
Interquartile range (IQR)191867794

Descriptive statistics

Standard deviation230050272.8
Coefficient of variation (CV)1.196895136
Kurtosis10.573535
Mean192205871.5
Median Absolute Deviation (MAD)72187972
Skewness2.850830739
Sum9802499448
Variance5.292312803e+16
MonotocityNot monotonic
2020-11-24T21:53:19.238593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25387750012.0%
 
26867280012.0%
 
37028661212.0%
 
73868198812.0%
 
27818270812.0%
 
11317560012.0%
 
8003915212.0%
 
7076932412.0%
 
5057087612.0%
 
3847510012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1741057212.0%
 
1893070812.0%
 
2057254812.0%
 
2383869212.0%
 
2453578012.0%
 
ValueCountFrequency (%) 
130365773212.0%
 
73868198812.0%
 
67043432812.0%
 
57303666012.0%
 
44679153212.0%
 

2004Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195419756.4
Minimum17672904
Maximum1326841864
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:19.373466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum17672904
5-th percentile22600934
Q148596644
median116463052
Q3244271070
95-th percentile631961958
Maximum1326841864
Range1309168960
Interquartile range (IQR)195674426

Descriptive statistics

Standard deviation233935906.8
Coefficient of variation (CV)1.197094455
Kurtosis10.61834955
Mean195419756.4
Median Absolute Deviation (MAD)74561588
Skewness2.855909933
Sum9966407576
Variance5.472600848e+16
MonotocityNot monotonic
2020-11-24T21:53:19.517902image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
28172932812.0%
 
18189872012.0%
 
2476548812.0%
 
5081451612.0%
 
5820624812.0%
 
42953809212.0%
 
22919390412.0%
 
2405534012.0%
 
7306414412.0%
 
16742813612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1767290412.0%
 
1917231212.0%
 
2114652812.0%
 
2405534012.0%
 
2476548812.0%
 
ValueCountFrequency (%) 
132684186412.0%
 
75168854412.0%
 
67680422812.0%
 
58711968812.0%
 
45322242412.0%
 

2004Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198130881.7
Minimum17912728
Maximum1342519144
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:19.650689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum17912728
5-th percentile22833822
Q149218126
median118243868
Q3247954778
95-th percentile642620144
Maximum1342519144
Range1324606416
Interquartile range (IQR)198736652

Descriptive statistics

Standard deviation237262590.7
Coefficient of variation (CV)1.19750434
Kurtosis10.51232603
Mean198130881.7
Median Absolute Deviation (MAD)75961464
Skewness2.845229044
Sum1.010467497e+10
Variance5.629353696e+16
MonotocityNot monotonic
2020-11-24T21:53:19.793766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4433513212.0%
 
4228240412.0%
 
5170352012.0%
 
4673273212.0%
 
27724099212.0%
 
22164587612.0%
 
3243846012.0%
 
2131107212.0%
 
11631633212.0%
 
36455288412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1791272812.0%
 
1910798812.0%
 
2131107212.0%
 
2435657212.0%
 
2472538012.0%
 
ValueCountFrequency (%) 
134251914412.0%
 
76634878012.0%
 
68694684012.0%
 
59829344812.0%
 
45811634412.0%
 

2004Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202312196.2
Minimum18225904
Maximum1370466252
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:19.937518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum18225904
5-th percentile23082122
Q149757956
median120237316
Q3258671408
95-th percentile658429824
Maximum1370466252
Range1352240348
Interquartile range (IQR)208913452

Descriptive statistics

Standard deviation242249896.6
Coefficient of variation (CV)1.197406292
Kurtosis10.50433083
Mean202312196.2
Median Absolute Deviation (MAD)77244572
Skewness2.844001657
Sum1.031792201e+10
Variance5.868501242e+16
MonotocityNot monotonic
2020-11-24T21:53:20.093477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2510031612.0%
 
26965922412.0%
 
5337682412.0%
 
4299274412.0%
 
7390622812.0%
 
13187196012.0%
 
5950200012.0%
 
61440060812.0%
 
32824772412.0%
 
9622290012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1822590412.0%
 
1957208012.0%
 
2139140012.0%
 
2477284412.0%
 
2510031612.0%
 
ValueCountFrequency (%) 
137046625212.0%
 
78177224812.0%
 
70245904012.0%
 
61440060812.0%
 
46629637212.0%
 

2005Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203038098.4
Minimum18927536
Maximum1377327404
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:20.239001image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum18927536
5-th percentile23270022
Q149762746
median121169744
Q3255812922
95-th percentile675142438
Maximum1377327404
Range1358399868
Interquartile range (IQR)206050176

Descriptive statistics

Standard deviation243616311.1
Coefficient of variation (CV)1.199855166
Kurtosis10.50481106
Mean203038098.4
Median Absolute Deviation (MAD)78977332
Skewness2.850728581
Sum1.035494302e+10
Variance5.934890706e+16
MonotocityNot monotonic
2020-11-24T21:53:20.382662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7489420412.0%
 
2128535612.0%
 
2578721612.0%
 
18634232812.0%
 
13315255612.0%
 
28980638812.0%
 
13024957212.0%
 
18057630412.0%
 
38413410012.0%
 
137732740412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1892753612.0%
 
1990591212.0%
 
2128535612.0%
 
2525468812.0%
 
2578721612.0%
 
ValueCountFrequency (%) 
137732740412.0%
 
77521223212.0%
 
72305959612.0%
 
62722528012.0%
 
46601959612.0%
 

2005Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206191698
Minimum19337912
Maximum1400942152
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:20.517043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum19337912
5-th percentile23496030
Q150478178
median122844048
Q3259457902
95-th percentile688108280
Maximum1400942152
Range1381604240
Interquartile range (IQR)208979724

Descriptive statistics

Standard deviation247600886.1
Coefficient of variation (CV)1.20082859
Kurtosis10.55532491
Mean206191698
Median Absolute Deviation (MAD)80129028
Skewness2.858260266
Sum1.05157766e+10
Variance6.130619879e+16
MonotocityNot monotonic
2020-11-24T21:53:20.648344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8819413212.0%
 
2134182412.0%
 
78578066412.0%
 
10899048412.0%
 
9622738012.0%
 
32984248012.0%
 
2769247212.0%
 
19404647612.0%
 
5282487612.0%
 
28413381612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1933791212.0%
 
2031830012.0%
 
2134182412.0%
 
2565023612.0%
 
2608982812.0%
 
ValueCountFrequency (%) 
140094215212.0%
 
78578066412.0%
 
73625110812.0%
 
63996545212.0%
 
47027808812.0%
 

2005Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209705702.3
Minimum19843392
Maximum1430464404
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:20.789070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum19843392
5-th percentile23861314
Q151052412
median124202304
Q3263359836
95-th percentile704731596
Maximum1430464404
Range1410621012
Interquartile range (IQR)212307424

Descriptive statistics

Standard deviation252547584.6
Coefficient of variation (CV)1.204295267
Kurtosis10.64394976
Mean209705702.3
Median Absolute Deviation (MAD)80947924
Skewness2.872221609
Sum1.069499082e+10
Variance6.378028251e+16
MonotocityNot monotonic
2020-11-24T21:53:20.919125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4739999212.0%
 
32978872812.0%
 
11140702812.0%
 
11766105612.0%
 
9475832012.0%
 
29831121212.0%
 
19660559212.0%
 
24451490012.0%
 
75453853612.0%
 
3319709212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
1984339212.0%
 
2053765212.0%
 
2154324812.0%
 
2617938012.0%
 
2634491612.0%
 
ValueCountFrequency (%) 
143046440412.0%
 
79763620412.0%
 
75453853612.0%
 
65492465612.0%
 
47740432012.0%
 

2005Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean213246462.1
Minimum20519152
Maximum1455029328
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:21.064337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum20519152
5-th percentile24255536
Q151804278
median126405856
Q3266984974
95-th percentile720132804
Maximum1455029328
Range1434510176
Interquartile range (IQR)215180696

Descriptive statistics

Standard deviation257247928.5
Coefficient of variation (CV)1.206340898
Kurtosis10.60358932
Mean213246462.1
Median Absolute Deviation (MAD)82234008
Skewness2.871128734
Sum1.087556957e+10
Variance6.617649674e+16
MonotocityNot monotonic
2020-11-24T21:53:21.193762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5419428812.0%
 
19900190012.0%
 
11978694412.0%
 
6117356412.0%
 
77400607212.0%
 
37982420412.0%
 
24811320412.0%
 
24335824812.0%
 
12357465612.0%
 
81407518412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2051915212.0%
 
2070059212.0%
 
2197425612.0%
 
2653681612.0%
 
2662834812.0%
 
ValueCountFrequency (%) 
145502932812.0%
 
81407518412.0%
 
77400607212.0%
 
66625953612.0%
 
48522368012.0%
 

2006Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219597964.9
Minimum20977680
Maximum1507234228
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:21.330976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum20977680
5-th percentile24885486
Q153532972
median131010688
Q3276775502
95-th percentile747056674
Maximum1507234228
Range1486256548
Interquartile range (IQR)223242530

Descriptive statistics

Standard deviation265585151.4
Coefficient of variation (CV)1.209415358
Kurtosis10.80102843
Mean219597964.9
Median Absolute Deviation (MAD)86016868
Skewness2.896729788
Sum1.119949621e+10
Variance7.053547263e+16
MonotocityNot monotonic
2020-11-24T21:53:21.462068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2722546812.0%
 
12673204012.0%
 
12533241212.0%
 
38647679612.0%
 
19843168012.0%
 
18787295212.0%
 
20444477612.0%
 
150723422812.0%
 
83160272812.0%
 
18684536012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2097768012.0%
 
2173694812.0%
 
2265860812.0%
 
2711236412.0%
 
2722546812.0%
 
ValueCountFrequency (%) 
150723422812.0%
 
83160272812.0%
 
80221612812.0%
 
69189722012.0%
 
49921138412.0%
 

2006Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean221921543.1
Minimum21244548
Maximum1511868424
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:21.597625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum21244548
5-th percentile25174058
Q154195992
median132188644
Q3279112468
95-th percentile756467232
Maximum1511868424
Range1490623876
Interquartile range (IQR)224916476

Descriptive statistics

Standard deviation267556819.3
Coefficient of variation (CV)1.205636981
Kurtosis10.56611036
Mean221921543.1
Median Absolute Deviation (MAD)86172160
Skewness2.869688461
Sum1.13179987e+10
Variance7.158665157e+16
MonotocityNot monotonic
2020-11-24T21:53:21.730077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2250174412.0%
 
41738262812.0%
 
5927531212.0%
 
25658949212.0%
 
4144664412.0%
 
14220224012.0%
 
20665374412.0%
 
19993694012.0%
 
5025451612.0%
 
8239888812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2124454812.0%
 
2250174412.0%
 
2286530812.0%
 
2748280812.0%
 
2750620012.0%
 
ValueCountFrequency (%) 
151186842412.0%
 
84308899212.0%
 
81333182812.0%
 
69960263612.0%
 
50516544012.0%
 

2006Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean224050081.1
Minimum21269308
Maximum1531584864
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:21.864213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum21269308
5-th percentile25380050
Q154747474
median133939892
Q3282145074
95-th percentile764157240
Maximum1531584864
Range1510315556
Interquartile range (IQR)227397600

Descriptive statistics

Standard deviation270618473.9
Coefficient of variation (CV)1.207848141
Kurtosis10.6600464
Mean224050081.1
Median Absolute Deviation (MAD)87848100
Skewness2.881592988
Sum1.142655414e+10
Variance7.323435842e+16
MonotocityNot monotonic
2020-11-24T21:53:21.996655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25923808412.0%
 
30505206412.0%
 
13393989212.0%
 
5222276812.0%
 
12270506812.0%
 
10291169612.0%
 
9819241612.0%
 
82145373612.0%
 
3278635212.0%
 
41986352812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2126930812.0%
 
2296324412.0%
 
2314602812.0%
 
2761407212.0%
 
2761514412.0%
 
ValueCountFrequency (%) 
153158486412.0%
 
85051343212.0%
 
82145373612.0%
 
70686074412.0%
 
50931411212.0%
 

2006Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227085312.8
Minimum21714240
Maximum1548990972
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:22.132546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum21714240
5-th percentile25657116
Q155889604
median135854216
Q3287030012
95-th percentile775374790
Maximum1548990972
Range1527276732
Interquartile range (IQR)231140408

Descriptive statistics

Standard deviation274432341.9
Coefficient of variation (CV)1.208498861
Kurtosis10.55170011
Mean227085312.8
Median Absolute Deviation (MAD)88742672
Skewness2.872227569
Sum1.158135095e+10
Variance7.531311025e+16
MonotocityNot monotonic
2020-11-24T21:53:22.269023image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
154899097212.0%
 
2809604012.0%
 
14701328812.0%
 
2337734012.0%
 
20201400412.0%
 
20972703212.0%
 
21436830412.0%
 
9990619212.0%
 
12976056412.0%
 
8401898812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2171424012.0%
 
2313151212.0%
 
2337734012.0%
 
2793689212.0%
 
2809604012.0%
 
ValueCountFrequency (%) 
154899097212.0%
 
87148359612.0%
 
83410822012.0%
 
71664136012.0%
 
51561237612.0%
 

2007Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231668171
Minimum23036720
Maximum1566290428
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:22.418049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum23036720
5-th percentile26530284
Q155775404
median139205196
Q3294956014
95-th percentile784965076
Maximum1566290428
Range1543253708
Interquartile range (IQR)239180610

Descriptive statistics

Standard deviation279091104.5
Coefficient of variation (CV)1.204701981
Kurtosis10.27441584
Mean231668171
Median Absolute Deviation (MAD)90720024
Skewness2.840722209
Sum1.181507672e+10
Variance7.789184463e+16
MonotocityNot monotonic
2020-11-24T21:53:22.568649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
19680054012.0%
 
43438582812.0%
 
8307660412.0%
 
8575427612.0%
 
6171896812.0%
 
13252190812.0%
 
40644220012.0%
 
3190443212.0%
 
4312469212.0%
 
20225118012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2303672012.0%
 
2329265212.0%
 
2385618812.0%
 
2920438012.0%
 
2976880412.0%
 
ValueCountFrequency (%) 
156629042812.0%
 
90628211612.0%
 
84811858812.0%
 
72181156412.0%
 
52746432812.0%
 

2007Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234199723.4
Minimum23360380
Maximum1579321404
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:22.712888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum23360380
5-th percentile26941470
Q156519500
median141589008
Q3299670146
95-th percentile797471158
Maximum1579321404
Range1555961024
Interquartile range (IQR)243150646

Descriptive statistics

Standard deviation281126873.2
Coefficient of variation (CV)1.200372354
Kurtosis10.28083797
Mean234199723.4
Median Absolute Deviation (MAD)92705432
Skewness2.8388203
Sum1.194418589e+10
Variance7.903231883e+16
MonotocityNot monotonic
2020-11-24T21:53:22.855217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21978217212.0%
 
8563778812.0%
 
20964307612.0%
 
21017630012.0%
 
21486852012.0%
 
4888357612.0%
 
34418998412.0%
 
4307766812.0%
 
157932140412.0%
 
3660086412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2336038012.0%
 
2374614812.0%
 
2414845612.0%
 
2973448412.0%
 
3043136812.0%
 
ValueCountFrequency (%) 
157932140412.0%
 
89975134412.0%
 
86552046812.0%
 
72942184812.0%
 
53369349612.0%
 

2007Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236135430
Minimum23766932
Maximum1585673928
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:22.990584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum23766932
5-th percentile27121652
Q156688706
median142828308
Q3303612276
95-th percentile807550412
Maximum1585673928
Range1561906996
Interquartile range (IQR)246923570

Descriptive statistics

Standard deviation283181531.3
Coefficient of variation (CV)1.199233555
Kurtosis10.13422653
Mean236135430
Median Absolute Deviation (MAD)93764440
Skewness2.823856016
Sum1.204290693e+10
Variance8.019177969e+16
MonotocityNot monotonic
2020-11-24T21:53:23.125593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15284940412.0%
 
4741311212.0%
 
4906386812.0%
 
8614086412.0%
 
2436914412.0%
 
6831014812.0%
 
6363013212.0%
 
28189782812.0%
 
15855377612.0%
 
5364381612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2376693212.0%
 
2403110412.0%
 
2436914412.0%
 
2987416012.0%
 
3079436012.0%
 
ValueCountFrequency (%) 
158567392812.0%
 
90926997612.0%
 
87977719612.0%
 
73532362812.0%
 
53838062412.0%
 

2007Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238813852.1
Minimum24554904
Maximum1604120424
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:23.271195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum24554904
5-th percentile27428234
Q157226034
median144438224
Q3308459098
95-th percentile817570594
Maximum1604120424
Range1579565520
Interquartile range (IQR)251233064

Descriptive statistics

Standard deviation286345123.5
Coefficient of variation (CV)1.19903063
Kurtosis10.17064506
Mean238813852.1
Median Absolute Deviation (MAD)94722656
Skewness2.830457676
Sum1.217950646e+10
Variance8.199352978e+16
MonotocityNot monotonic
2020-11-24T21:53:23.414927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3523182812.0%
 
3163947212.0%
 
34696262412.0%
 
89844102012.0%
 
2469170412.0%
 
21342534812.0%
 
13605901212.0%
 
4771192412.0%
 
21844497612.0%
 
41054353212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2455490412.0%
 
2460604012.0%
 
2469170412.0%
 
3016476412.0%
 
3163947212.0%
 
ValueCountFrequency (%) 
160412042412.0%
 
91734835612.0%
 
89844102012.0%
 
73670016812.0%
 
54680667212.0%
 

2008Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242366696.4
Minimum25222764
Maximum1602410207
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:23.553429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25222764
5-th percentile29422939
Q158200903
median146182058
Q3311062335
95-th percentile832187456
Maximum1602410207
Range1577187443
Interquartile range (IQR)252861432

Descriptive statistics

Standard deviation288803328.7
Coefficient of variation (CV)1.191596589
Kurtosis9.739497891
Mean242366696.4
Median Absolute Deviation (MAD)95828499
Skewness2.78319933
Sum1.236070152e+10
Variance8.340736267e+16
MonotocityNot monotonic
2020-11-24T21:53:23.693631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2622246112.0%
 
13840502712.0%
 
7153787012.0%
 
5577387812.0%
 
2678805612.0%
 
45356367112.0%
 
22266807812.0%
 
29038634912.0%
 
35178935412.0%
 
4840687612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2522276412.0%
 
2622246112.0%
 
2678805612.0%
 
3205782212.0%
 
3304429412.0%
 
ValueCountFrequency (%) 
160241020712.0%
 
94037638912.0%
 
93026538912.0%
 
73410952312.0%
 
54856040112.0%
 

2008Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249237050.1
Minimum25809548
Maximum1645283360
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:23.834203image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25809548
5-th percentile30294140
Q160065572
median152501720
Q3320215052
95-th percentile844491374
Maximum1645283360
Range1619473812
Interquartile range (IQR)260149480

Descriptive statistics

Standard deviation296279330.1
Coefficient of variation (CV)1.188745132
Kurtosis9.775017981
Mean249237050.1
Median Absolute Deviation (MAD)100571900
Skewness2.78764156
Sum1.271108956e+10
Variance8.778144143e+16
MonotocityNot monotonic
2020-11-24T21:53:23.963039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
10458333612.0%
 
21222965612.0%
 
9248263612.0%
 
7367992412.0%
 
11885176012.0%
 
5837560812.0%
 
4992324412.0%
 
4492576012.0%
 
93713693612.0%
 
14647517212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2580954812.0%
 
2698067212.0%
 
2746534812.0%
 
3312293212.0%
 
3356569612.0%
 
ValueCountFrequency (%) 
164528336012.0%
 
98408012012.0%
 
93713693612.0%
 
75184581212.0%
 
56214067212.0%
 

2008Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245569676.2
Minimum25526836
Maximum1625347241
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:24.106758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25526836
5-th percentile30140369
Q159425143
median149175554
Q3315462629
95-th percentile831582834
Maximum1625347241
Range1599820405
Interquartile range (IQR)256037486

Descriptive statistics

Standard deviation292349573.8
Coefficient of variation (CV)1.190495416
Kurtosis9.836148825
Mean245569676.2
Median Absolute Deviation (MAD)98495429
Skewness2.794727679
Sum1.252405349e+10
Variance8.546827328e+16
MonotocityNot monotonic
2020-11-24T21:53:24.242172image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
92931059112.0%
 
16776282812.0%
 
7269317412.0%
 
35925675812.0%
 
45633554112.0%
 
2552683612.0%
 
21033041212.0%
 
21838352912.0%
 
33864247212.0%
 
8987779912.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2552683612.0%
 
2677116312.0%
 
2729205212.0%
 
3298868612.0%
 
3303230612.0%
 
ValueCountFrequency (%) 
162534724112.0%
 
96639486312.0%
 
92931059112.0%
 
73385507712.0%
 
55373973512.0%
 

2008Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242646577.3
Minimum25418408
Maximum1593080940
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:24.380845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25418408
5-th percentile29654746
Q159433976
median147735204
Q3311400602
95-th percentile816897714
Maximum1593080940
Range1567662532
Interquartile range (IQR)251966626

Descriptive statistics

Standard deviation287374802.5
Coefficient of variation (CV)1.18433487
Kurtosis9.653205383
Mean242646577.3
Median Absolute Deviation (MAD)97977700
Skewness2.767514547
Sum1.237497544e+10
Variance8.258427711e+16
MonotocityNot monotonic
2020-11-24T21:53:24.515668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
35023376812.0%
 
3598276012.0%
 
8909771612.0%
 
2685700812.0%
 
3658817612.0%
 
11432477212.0%
 
4402257212.0%
 
22392915212.0%
 
2541840812.0%
 
5816354812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2541840812.0%
 
2604722812.0%
 
2685700812.0%
 
3245248412.0%
 
3320293612.0%
 
ValueCountFrequency (%) 
159308094012.0%
 
95330809212.0%
 
91484082412.0%
 
71895460412.0%
 
54632449212.0%
 

2009Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236193418.3
Minimum25050991
Maximum1561234360
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:24.660006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25050991
5-th percentile28870122
Q158744130
median144832457
Q3304687730
95-th percentile793012957.5
Maximum1561234360
Range1536183369
Interquartile range (IQR)245943600

Descriptive statistics

Standard deviation279502956.7
Coefficient of variation (CV)1.183364713
Kurtosis9.975394579
Mean236193418.3
Median Absolute Deviation (MAD)95724999
Skewness2.804177411
Sum1.204586433e+10
Variance7.812190281e+16
MonotocityNot monotonic
2020-11-24T21:53:24.793791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3148275012.0%
 
21459908112.0%
 
3232941212.0%
 
13491296212.0%
 
4272070412.0%
 
156123436012.0%
 
7109842112.0%
 
5792914012.0%
 
21689297912.0%
 
52589022612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2505099112.0%
 
2520063212.0%
 
2625749412.0%
 
3148275012.0%
 
3232941212.0%
 
ValueCountFrequency (%) 
156123436012.0%
 
91424910612.0%
 
88973813612.0%
 
69628777912.0%
 
52589022612.0%
 

2009Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237285453.9
Minimum24477936
Maximum1562052416
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:24.933089image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum24477936
5-th percentile29177882
Q159179254
median145595676
Q3306716956
95-th percentile801873508
Maximum1562052416
Range1537574480
Interquartile range (IQR)247537702

Descriptive statistics

Standard deviation280540535.7
Coefficient of variation (CV)1.182291333
Kurtosis9.833300419
Mean237285453.9
Median Absolute Deviation (MAD)96317180
Skewness2.786946263
Sum1.210155815e+10
Variance7.870299216e+16
MonotocityNot monotonic
2020-11-24T21:53:25.062846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8671398012.0%
 
12977779212.0%
 
28066794812.0%
 
11324728412.0%
 
4306137612.0%
 
35156103212.0%
 
3182968012.0%
 
28021960412.0%
 
41108122812.0%
 
91028023612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2447793612.0%
 
2510677612.0%
 
2652608412.0%
 
3182968012.0%
 
3281996812.0%
 
ValueCountFrequency (%) 
156205241612.0%
 
91114025612.0%
 
91028023612.0%
 
69346678012.0%
 
52507872012.0%
 

2009Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236301505.2
Minimum24048812
Maximum1555017508
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:25.200707image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum24048812
5-th percentile29418364
Q159177920
median144856019
Q3305177847
95-th percentile795732479.5
Maximum1555017508
Range1530968696
Interquartile range (IQR)245999927

Descriptive statistics

Standard deviation279202400.5
Coefficient of variation (CV)1.181551511
Kurtosis9.840086852
Mean236301505.2
Median Absolute Deviation (MAD)95529146
Skewness2.78682663
Sum1.205137677e+10
Variance7.795398045e+16
MonotocityNot monotonic
2020-11-24T21:53:25.335499image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21604019012.0%
 
11047926612.0%
 
8800171412.0%
 
34131486512.0%
 
3376030212.0%
 
51331473312.0%
 
9662314812.0%
 
4867063412.0%
 
21421623112.0%
 
40950925212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2404881212.0%
 
2517055712.0%
 
2683500212.0%
 
3200172612.0%
 
3276720412.0%
 
ValueCountFrequency (%) 
155501750812.0%
 
90823294812.0%
 
90553820612.0%
 
68592675312.0%
 
52180903412.0%
 

2009Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237626995.1
Minimum23796636
Maximum1564293028
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:25.476086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum23796636
5-th percentile29706768
Q159385618
median145522400
Q3305894306
95-th percentile799622612
Maximum1564293028
Range1540496392
Interquartile range (IQR)246508688

Descriptive statistics

Standard deviation280940507.4
Coefficient of variation (CV)1.182275217
Kurtosis9.831092741
Mean237626995.1
Median Absolute Deviation (MAD)95987500
Skewness2.785902069
Sum1.211897675e+10
Variance7.892756867e+16
MonotocityNot monotonic
2020-11-24T21:53:25.620402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3228060412.0%
 
156429302812.0%
 
32989780812.0%
 
9068648412.0%
 
16260928412.0%
 
3680363612.0%
 
33679614812.0%
 
9695987212.0%
 
8809592012.0%
 
2379663612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2379663612.0%
 
2519445612.0%
 
2713293212.0%
 
3228060412.0%
 
3301054812.0%
 
ValueCountFrequency (%) 
156429302812.0%
 
91495407612.0%
 
90950364012.0%
 
68974158412.0%
 
52558470412.0%
 

2010Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239530097
Minimum24930577
Maximum1585462311
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:25.767335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum24930577
5-th percentile30575052
Q159593843
median146605592
Q3306594677
95-th percentile815097016
Maximum1585462311
Range1560531734
Interquartile range (IQR)247000834

Descriptive statistics

Standard deviation284860260.6
Coefficient of variation (CV)1.189246213
Kurtosis9.889678734
Mean239530097
Median Absolute Deviation (MAD)97177640
Skewness2.802320314
Sum1.221603494e+10
Variance8.114536807e+16
MonotocityNot monotonic
2020-11-24T21:53:25.911357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
93316508412.0%
 
33891214112.0%
 
16609196012.0%
 
4410830112.0%
 
21801965112.0%
 
3455787412.0%
 
4942795212.0%
 
15811767512.0%
 
71150865012.0%
 
28253815312.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2493057712.0%
 
2512220212.0%
 
2839278212.0%
 
3275732212.0%
 
3412657912.0%
 
ValueCountFrequency (%) 
158546231112.0%
 
93316508412.0%
 
91868538212.0%
 
71150865012.0%
 
52467684312.0%
 

2010Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean243071333.5
Minimum25404276
Maximum1606981344
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:26.054694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25404276
5-th percentile31175932
Q160673914
median148596564
Q3310709628
95-th percentile830843354
Maximum1606981344
Range1581577068
Interquartile range (IQR)250035714

Descriptive statistics

Standard deviation289215772.5
Coefficient of variation (CV)1.189839083
Kurtosis9.831144798
Mean243071333.5
Median Absolute Deviation (MAD)98823972
Skewness2.797769288
Sum1.239663801e+10
Variance8.364576304e+16
MonotocityNot monotonic
2020-11-24T21:53:26.191649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9085050012.0%
 
94750634812.0%
 
36270574412.0%
 
7389548012.0%
 
4977259212.0%
 
93849303212.0%
 
3490962012.0%
 
13614098812.0%
 
45075716012.0%
 
41681246412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2540427612.0%
 
2554998012.0%
 
2908646812.0%
 
3326539612.0%
 
3456689612.0%
 
ValueCountFrequency (%) 
160698134412.0%
 
94750634812.0%
 
93849303212.0%
 
72319367612.0%
 
53178404012.0%
 

2010Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245638810.5
Minimum25807090
Maximum1616092621
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:26.331961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25807090
5-th percentile31819776
Q161317493
median149983168
Q3313982435.5
95-th percentile835401784
Maximum1616092621
Range1590285531
Interquartile range (IQR)252664942.5

Descriptive statistics

Standard deviation291445374.4
Coefficient of variation (CV)1.186479343
Kurtosis9.713299879
Mean245638810.5
Median Absolute Deviation (MAD)99849836
Skewness2.782123557
Sum1.252757934e+10
Variance8.494040627e+16
MonotocityNot monotonic
2020-11-24T21:53:26.468270image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
13657151712.0%
 
93765557812.0%
 
35151595912.0%
 
33793856412.0%
 
8821150812.0%
 
11300549112.0%
 
14998316812.0%
 
21621349712.0%
 
14468727912.0%
 
45332253012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2580709012.0%
 
2598645912.0%
 
2968395812.0%
 
3395559412.0%
 
3489369312.0%
 
ValueCountFrequency (%) 
161609262112.0%
 
96416300812.0%
 
93765557812.0%
 
73314799012.0%
 
53966296912.0%
 

2010Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean248984308.1
Minimum25970468
Maximum1660000724
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:26.610795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25970468
5-th percentile32371168
Q161564772
median151188116
Q3317605904
95-th percentile843326074
Maximum1660000724
Range1634030256
Interquartile range (IQR)256041132

Descriptive statistics

Standard deviation297261590.5
Coefficient of variation (CV)1.193896888
Kurtosis10.07742272
Mean248984308.1
Median Absolute Deviation (MAD)100239544
Skewness2.827825861
Sum1.269819971e+10
Variance8.836445321e+16
MonotocityNot monotonic
2020-11-24T21:53:26.743129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3581750012.0%
 
7552506012.0%
 
3525854012.0%
 
35379515612.0%
 
36996068412.0%
 
11769668012.0%
 
9435532012.0%
 
2597046812.0%
 
94224705612.0%
 
5788480012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2597046812.0%
 
2630635212.0%
 
3063779212.0%
 
3410454412.0%
 
3525854012.0%
 
ValueCountFrequency (%) 
166000072412.0%
 
98141328012.0%
 
94224705612.0%
 
74440509212.0%
 
54573148812.0%
 

2011Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256151732.7
Minimum26732676
Maximum1709143764
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:26.883281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum26732676
5-th percentile34079302
Q163033461.5
median155810368
Q3323709743.5
95-th percentile876086013
Maximum1709143764
Range1682411088
Interquartile range (IQR)260676282

Descriptive statistics

Standard deviation307426595.1
Coefficient of variation (CV)1.200173787
Kurtosis9.991510038
Mean256151732.7
Median Absolute Deviation (MAD)103771947
Skewness2.830278489
Sum1.306373837e+10
Variance9.451111135e+16
MonotocityNot monotonic
2020-11-24T21:53:27.021488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
35548953312.0%
 
5203842112.0%
 
3627333212.0%
 
3916753912.0%
 
22335517612.0%
 
5128118612.0%
 
7112796712.0%
 
44084867012.0%
 
3203894112.0%
 
22757148212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2673267612.0%
 
2753524112.0%
 
3203894112.0%
 
3611966312.0%
 
3627333212.0%
 
ValueCountFrequency (%) 
170914376412.0%
 
102674568812.0%
 
99007365312.0%
 
76209837312.0%
 
55955505512.0%
 

2011Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258308325.8
Minimum27111832
Maximum1718656152
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:27.178210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum27111832
5-th percentile34598836
Q164165678
median157885872
Q3326943114
95-th percentile879636484
Maximum1718656152
Range1691544320
Interquartile range (IQR)262777436

Descriptive statistics

Standard deviation309306362.7
Coefficient of variation (CV)1.197430868
Kurtosis9.944441344
Mean258308325.8
Median Absolute Deviation (MAD)105340380
Skewness2.8230631
Sum1.317372462e+10
Variance9.567042598e+16
MonotocityNot monotonic
2020-11-24T21:53:27.319717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3952678012.0%
 
4678848412.0%
 
6542251612.0%
 
3270060412.0%
 
7179038012.0%
 
98735224012.0%
 
35084542412.0%
 
9438634812.0%
 
9382674812.0%
 
36720976412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2711183212.0%
 
2783062012.0%
 
3270060412.0%
 
3649706812.0%
 
3696407612.0%
 
ValueCountFrequency (%) 
171865615212.0%
 
104002529612.0%
 
98735224012.0%
 
77192072812.0%
 
56078436012.0%
 

2011Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261232744.3
Minimum27352416
Maximum1741689020
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:27.466160image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum27352416
5-th percentile35313681.5
Q164723776.5
median158897648
Q3330378454.5
95-th percentile885508479
Maximum1741689020
Range1714336604
Interquartile range (IQR)265654678

Descriptive statistics

Standard deviation313016015
Coefficient of variation (CV)1.19822657
Kurtosis10.01972327
Mean261232744.3
Median Absolute Deviation (MAD)105744313
Skewness2.832658948
Sum1.332286996e+10
Variance9.797902565e+16
MonotocityNot monotonic
2020-11-24T21:53:27.600453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
56578124612.0%
 
4125814212.0%
 
36273329912.0%
 
3999109712.0%
 
5315333512.0%
 
30718904512.0%
 
10376299112.0%
 
99323357912.0%
 
6366147612.0%
 
14482958412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2735241612.0%
 
2828065512.0%
 
3374182712.0%
 
3688553612.0%
 
3748904512.0%
 
ValueCountFrequency (%) 
174168902012.0%
 
105725954412.0%
 
99323357912.0%
 
77778337912.0%
 
56578124612.0%
 

2011Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262223746.3
Minimum27683592
Maximum1740245380
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:27.756356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum27683592
5-th percentile36127468
Q164892748
median159217972
Q3331763064
95-th percentile888105534
Maximum1740245380
Range1712561788
Interquartile range (IQR)266870316

Descriptive statistics

Standard deviation313380524.5
Coefficient of variation (CV)1.195088275
Kurtosis9.918478348
Mean262223746.3
Median Absolute Deviation (MAD)105975864
Skewness2.82059004
Sum1.337341106e+10
Variance9.820735312e+16
MonotocityNot monotonic
2020-11-24T21:53:27.904856image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
22825023612.0%
 
24288113212.0%
 
7315438412.0%
 
14903187212.0%
 
9565129212.0%
 
15921797212.0%
 
3474488012.0%
 
17634402012.0%
 
47791761212.0%
 
36754617612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2768359212.0%
 
2872248412.0%
 
3474488012.0%
 
3751005612.0%
 
3803285212.0%
 
ValueCountFrequency (%) 
174024538012.0%
 
106403763612.0%
 
99474975612.0%
 
78146131212.0%
 
56674438412.0%
 

2012Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean267678837.3
Minimum27715568
Maximum1792764160
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:28.049909image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum27715568
5-th percentile37562370
Q165518648
median164314060
Q3339438166
95-th percentile902882410
Maximum1792764160
Range1765048592
Interquartile range (IQR)273919518

Descriptive statistics

Standard deviation322141915.9
Coefficient of variation (CV)1.203464268
Kurtosis10.13268781
Mean267678837.3
Median Absolute Deviation (MAD)110237336
Skewness2.855200042
Sum1.36516207e+10
Variance1.03775414e+17
MonotocityNot monotonic
2020-11-24T21:53:28.195018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
35985126012.0%
 
24926358412.0%
 
3910353612.0%
 
15439096412.0%
 
31902507212.0%
 
102581457212.0%
 
18061893212.0%
 
77995024812.0%
 
23212282812.0%
 
10451984412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2771556812.0%
 
2946997212.0%
 
3746166012.0%
 
3766308012.0%
 
3815549212.0%
 
ValueCountFrequency (%) 
179276416012.0%
 
110354668012.0%
 
102581457212.0%
 
77995024812.0%
 
57907286012.0%
 

2012Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270712304.5
Minimum28094068
Maximum1816100388
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:28.337601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28094068
5-th percentile38189578
Q166315624
median165864560
Q3343312340
95-th percentile915189228
Maximum1816100388
Range1788006320
Interquartile range (IQR)276996716

Descriptive statistics

Standard deviation326221689.3
Coefficient of variation (CV)1.20504936
Kurtosis10.17655475
Mean270712304.5
Median Absolute Deviation (MAD)111074044
Skewness2.863343665
Sum1.380632753e+10
Variance1.064205906e+17
MonotocityNot monotonic
2020-11-24T21:53:28.469736image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
16586456012.0%
 
46342070012.0%
 
10050706012.0%
 
25248035612.0%
 
111666628812.0%
 
15577350812.0%
 
37895978812.0%
 
23143734412.0%
 
10732292012.0%
 
7405773212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2809406812.0%
 
3027165612.0%
 
3789382412.0%
 
3848533212.0%
 
3877297212.0%
 
ValueCountFrequency (%) 
181610038812.0%
 
111666628812.0%
 
104487622812.0%
 
78550222812.0%
 
58397740812.0%
 

2012Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean271693809.3
Minimum27977924
Maximum1828137260
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:28.606426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum27977924
5-th percentile37369484
Q166349234
median165935616
Q3345365402
95-th percentile919925334
Maximum1828137260
Range1800159336
Interquartile range (IQR)279016168

Descriptive statistics

Standard deviation328279190.9
Coefficient of variation (CV)1.20826894
Kurtosis10.20996963
Mean271693809.3
Median Absolute Deviation (MAD)110638860
Skewness2.867869829
Sum1.385638428e+10
Variance1.077672272e+17
MonotocityNot monotonic
2020-11-24T21:53:28.737610image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
112232242812.0%
 
37680195212.0%
 
3967666812.0%
 
9788338412.0%
 
58584896412.0%
 
23284050012.0%
 
48973188812.0%
 
10611969212.0%
 
182813726012.0%
 
12768831612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2797792412.0%
 
3021155612.0%
 
3628608412.0%
 
3845288412.0%
 
3967666812.0%
 
ValueCountFrequency (%) 
182813726012.0%
 
112232242812.0%
 
105059796412.0%
 
78925270412.0%
 
58584896412.0%
 

2012Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280462892
Minimum28694120
Maximum1917266840
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:28.878836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28694120
5-th percentile38680688
Q168027834
median169477020
Q3355663656
95-th percentile955532378
Maximum1917266840
Range1888572720
Interquartile range (IQR)287635822

Descriptive statistics

Standard deviation342135282.4
Coefficient of variation (CV)1.21989501
Kurtosis10.59213801
Mean280462892
Median Absolute Deviation (MAD)112159628
Skewness2.920362446
Sum1.430360749e+10
Variance1.170565514e+17
MonotocityNot monotonic
2020-11-24T21:53:29.013740image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25992084412.0%
 
4941430412.0%
 
6542548412.0%
 
13370514012.0%
 
38338154412.0%
 
15519864012.0%
 
47617477612.0%
 
60228522812.0%
 
24997960012.0%
 
13257040412.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2869412012.0%
 
3178612412.0%
 
3849228812.0%
 
3886908812.0%
 
4107503212.0%
 
ValueCountFrequency (%) 
191726684012.0%
 
116030335212.0%
 
109335436812.0%
 
81771038812.0%
 
60228522812.0%
 

2013Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272453094.4
Minimum28261516
Maximum1825714640
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:29.160968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28261516
5-th percentile37838388
Q165811956
median166422164
Q3347894816
95-th percentile921587476
Maximum1825714640
Range1797453124
Interquartile range (IQR)282082860

Descriptive statistics

Standard deviation328556768
Coefficient of variation (CV)1.205920486
Kurtosis10.1265455
Mean272453094.4
Median Absolute Deviation (MAD)109903564
Skewness2.86078981
Sum1.389510781e+10
Variance1.079495498e+17
MonotocityNot monotonic
2020-11-24T21:53:29.299978image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2826151612.0%
 
25026198412.0%
 
46631595612.0%
 
6226567212.0%
 
58236408012.0%
 
7199098012.0%
 
5235905212.0%
 
25306889612.0%
 
8607325612.0%
 
3946189212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2826151612.0%
 
3055438812.0%
 
3773277212.0%
 
3794400412.0%
 
3946189212.0%
 
ValueCountFrequency (%) 
182571464012.0%
 
113104987612.0%
 
105612674412.0%
 
78704820812.0%
 
59396725612.0%
 

2013Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean274785006.8
Minimum28564156
Maximum1850632608
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:29.440936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28564156
5-th percentile37710270
Q166067600
median167194788
Q3350604344
95-th percentile931119648
Maximum1850632608
Range1822068452
Interquartile range (IQR)284536744

Descriptive statistics

Standard deviation332601095
Coefficient of variation (CV)1.210404814
Kurtosis10.21854143
Mean274785006.8
Median Absolute Deviation (MAD)109861500
Skewness2.874049543
Sum1.401403535e+10
Variance1.106234884e+17
MonotocityNot monotonic
2020-11-24T21:53:29.577233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
31198014412.0%
 
4016062412.0%
 
33091640412.0%
 
5733328812.0%
 
79408900412.0%
 
7238002812.0%
 
38179807612.0%
 
24009143212.0%
 
15436509212.0%
 
49268338012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2856415612.0%
 
3050792812.0%
 
3770040812.0%
 
3772013212.0%
 
4003172412.0%
 
ValueCountFrequency (%) 
185063260812.0%
 
114294886412.0%
 
106815029212.0%
 
79408900412.0%
 
59908819612.0%
 

2013Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean277120159.6
Minimum28659572
Maximum1871742040
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:29.719125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28659572
5-th percentile37885194
Q166353944
median169225764
Q3353828348
95-th percentile940508068
Maximum1871742040
Range1843082468
Interquartile range (IQR)287474404

Descriptive statistics

Standard deviation336080972.9
Coefficient of variation (CV)1.212762627
Kurtosis10.2861926
Mean277120159.6
Median Absolute Deviation (MAD)111223352
Skewness2.884327504
Sum1.413312814e+10
Variance1.129504203e+17
MonotocityNot monotonic
2020-11-24T21:53:29.857827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
10896465612.0%
 
187174204012.0%
 
15616466412.0%
 
60290706012.0%
 
7259675212.0%
 
25755072012.0%
 
40097016012.0%
 
25267806012.0%
 
37286059612.0%
 
10693502012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2865957212.0%
 
3071684412.0%
 
3774141612.0%
 
3802897212.0%
 
4016360812.0%
 
ValueCountFrequency (%) 
187174204012.0%
 
115563485212.0%
 
107792359612.0%
 
80309254012.0%
 
60290706012.0%
 

2013Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean279089582.4
Minimum28885188
Maximum1899736768
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:30.016215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28885188
5-th percentile37816428
Q166703966
median170228876
Q3356322000
95-th percentile948806798
Maximum1899736768
Range1870851580
Interquartile range (IQR)289618034

Descriptive statistics

Standard deviation340190135.8
Coefficient of variation (CV)1.218928105
Kurtosis10.44684864
Mean279089582.4
Median Absolute Deviation (MAD)111758572
Skewness2.905324764
Sum1.42335687e+10
Variance1.157293285e+17
MonotocityNot monotonic
2020-11-24T21:53:30.165024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5320502012.0%
 
4023850412.0%
 
3820190412.0%
 
60716809612.0%
 
59488926012.0%
 
9987445612.0%
 
3743095212.0%
 
40327515612.0%
 
4063644812.0%
 
24772765212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2888518812.0%
 
3109220012.0%
 
3743095212.0%
 
3820190412.0%
 
4023850412.0%
 
ValueCountFrequency (%) 
189973676812.0%
 
116608059212.0%
 
108629978812.0%
 
81131380812.0%
 
60716809612.0%
 

2014Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283904063.4
Minimum28956180
Maximum1926134508
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:30.319273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28956180
5-th percentile39049296
Q167221808
median173716388
Q3364662966
95-th percentile964775516
Maximum1926134508
Range1897178328
Interquartile range (IQR)297441158

Descriptive statistics

Standard deviation345971190.2
Coefficient of variation (CV)1.218620072
Kurtosis10.33950741
Mean283904063.4
Median Absolute Deviation (MAD)114478876
Skewness2.896392835
Sum1.447910723e+10
Variance1.196960644e+17
MonotocityNot monotonic
2020-11-24T21:53:30.453841image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25033938412.0%
 
6486838812.0%
 
24475732812.0%
 
34669906412.0%
 
31641815212.0%
 
38262686812.0%
 
4165508412.0%
 
8906424012.0%
 
5363024412.0%
 
11215198012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2895618012.0%
 
3184146412.0%
 
3865186412.0%
 
3944672812.0%
 
4070855612.0%
 
ValueCountFrequency (%) 
192613450812.0%
 
120230836012.0%
 
109829759612.0%
 
83125343612.0%
 
61498818012.0%
 

2014Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean288453829.3
Minimum29340276
Maximum1960838544
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:30.595503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum29340276
5-th percentile39719156
Q168435738
median177160576
Q3370863530
95-th percentile979425390
Maximum1960838544
Range1931498268
Interquartile range (IQR)302427792

Descriptive statistics

Standard deviation351850973.4
Coefficient of variation (CV)1.21978264
Kurtosis10.40381274
Mean288453829.3
Median Absolute Deviation (MAD)116633664
Skewness2.905845369
Sum1.471114529e+10
Variance1.237991075e+17
MonotocityNot monotonic
2020-11-24T21:53:30.740530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
13828774012.0%
 
26561143612.0%
 
19382323612.0%
 
32137190812.0%
 
196083854412.0%
 
6052691212.0%
 
16441887612.0%
 
25466048812.0%
 
51285790812.0%
 
38946430812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2934027612.0%
 
3266034412.0%
 
3939174812.0%
 
4004656412.0%
 
4145229612.0%
 
ValueCountFrequency (%) 
196083854412.0%
 
122688497212.0%
 
111058798012.0%
 
84826280012.0%
 
62241524812.0%
 

2014Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean292520987.8
Minimum29771452
Maximum1999981580
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:30.885436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum29771452
5-th percentile39876396
Q169108942
median179409516
Q3376535430
95-th percentile994418644
Maximum1999981580
Range1970210128
Interquartile range (IQR)307426488

Descriptive statistics

Standard deviation358162621.5
Coefficient of variation (CV)1.224399741
Kurtosis10.52957807
Mean292520987.8
Median Absolute Deviation (MAD)118302840
Skewness2.922615631
Sum1.491857038e+10
Variance1.282804635e+17
MonotocityNot monotonic
2020-11-24T21:53:31.031019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4179467212.0%
 
24136566012.0%
 
51924709212.0%
 
26858372812.0%
 
3930156012.0%
 
25098871612.0%
 
16433221212.0%
 
39548138412.0%
 
124703030412.0%
 
41974787612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2977145212.0%
 
3311896812.0%
 
3930156012.0%
 
4045123212.0%
 
4179467212.0%
 
ValueCountFrequency (%) 
199998158012.0%
 
124703030412.0%
 
112800613212.0%
 
86083115612.0%
 
62766534412.0%
 

2014Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean296032805.9
Minimum30126428
Maximum2024740328
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:31.176250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum30126428
5-th percentile40259368
Q169962348
median181719700
Q3381490620
95-th percentile1006883944
Maximum2024740328
Range1994613900
Interquartile range (IQR)311528272

Descriptive statistics

Standard deviation362532920.4
Coefficient of variation (CV)1.224637652
Kurtosis10.53626909
Mean296032805.9
Median Absolute Deviation (MAD)119638856
Skewness2.923161731
Sum1.50976731e+10
Variance1.314301184e+17
MonotocityNot monotonic
2020-11-24T21:53:31.314630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
41225410412.0%
 
49781601212.0%
 
4097196812.0%
 
11347410812.0%
 
25313638012.0%
 
11347858412.0%
 
5608447212.0%
 
52508779212.0%
 
42447236412.0%
 
26841193612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
3012642812.0%
 
3327357212.0%
 
3954676812.0%
 
4097196812.0%
 
4221504012.0%
 
ValueCountFrequency (%) 
202474032812.0%
 
126152895212.0%
 
114084424412.0%
 
87292364412.0%
 
63449986412.0%
 

2015Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean297835679.8
Minimum29962512
Maximum2054273268
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:31.456026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum29962512
5-th percentile40837114
Q169989810
median182587916
Q3383555910
95-th percentile1010056132
Maximum2054273268
Range2024310756
Interquartile range (IQR)313566100

Descriptive statistics

Standard deviation366492447.1
Coefficient of variation (CV)1.230518947
Kurtosis10.7433386
Mean297835679.8
Median Absolute Deviation (MAD)120018140
Skewness2.948882985
Sum1.518961967e+10
Variance1.343167138e+17
MonotocityNot monotonic
2020-11-24T21:53:31.596551image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
49675175612.0%
 
6722054012.0%
 
52792824412.0%
 
205427326812.0%
 
4263288012.0%
 
13550485212.0%
 
10238311612.0%
 
36533982012.0%
 
9039225212.0%
 
33087415212.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
2996251212.0%
 
3285527612.0%
 
4033492812.0%
 
4133930012.0%
 
4263288012.0%
 
ValueCountFrequency (%) 
205427326812.0%
 
127812455212.0%
 
113450888012.0%
 
88560338412.0%
 
63574549212.0%
 

2015Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302107757.9
Minimum30306496
Maximum2097203792
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:31.743656image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum30306496
5-th percentile41240176
Q171493796
median183994420
Q3389295516
95-th percentile1028541718
Maximum2097203792
Range2066897296
Interquartile range (IQR)317801720

Descriptive statistics

Standard deviation372812484.2
Coefficient of variation (CV)1.234038102
Kurtosis10.92113347
Mean302107757.9
Median Absolute Deviation (MAD)120739416
Skewness2.969726053
Sum1.540749565e+10
Variance1.389891484e+17
MonotocityNot monotonic
2020-11-24T21:53:31.874821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4311364012.0%
 
26642870012.0%
 
6325500412.0%
 
63348254812.0%
 
10380727612.0%
 
14265000812.0%
 
7899006012.0%
 
4501149612.0%
 
27669916812.0%
 
11358219612.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
3030649612.0%
 
3300210412.0%
 
4095304412.0%
 
4152730812.0%
 
4236614412.0%
 
ValueCountFrequency (%) 
209720379212.0%
 
128506536412.0%
 
116148852812.0%
 
89559490812.0%
 
64323109212.0%
 

2015Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean305185513.3
Minimum30642244
Maximum2118913364
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:32.004832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum30642244
5-th percentile41462622
Q172408272
median185488848
Q3393418642
95-th percentile1040311032
Maximum2118913364
Range2088271120
Interquartile range (IQR)321010370

Descriptive statistics

Standard deviation376712026.8
Coefficient of variation (CV)1.234370605
Kurtosis10.91564998
Mean305185513.3
Median Absolute Deviation (MAD)121410488
Skewness2.969048687
Sum1.556446118e+10
Variance1.419119512e+17
MonotocityNot monotonic
2020-11-24T21:53:32.130865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
42802286812.0%
 
6407836012.0%
 
7939576012.0%
 
14459882012.0%
 
17819230012.0%
 
27996018812.0%
 
26879722412.0%
 
27992426012.0%
 
11469224012.0%
 
26649372812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
3064224412.0%
 
3315620012.0%
 
4146014812.0%
 
4146509612.0%
 
4233004412.0%
 
ValueCountFrequency (%) 
211891336412.0%
 
129652589612.0%
 
117580310012.0%
 
90481896412.0%
 
65084481212.0%
 

2015Q4_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307732303.8
Minimum30759004
Maximum2144287468
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:32.264887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum30759004
5-th percentile41590054
Q173142338
median187068484
Q3396657284
95-th percentile1045191902
Maximum2144287468
Range2113528464
Interquartile range (IQR)323514946

Descriptive statistics

Standard deviation379919965.5
Coefficient of variation (CV)1.234579408
Kurtosis11.04540977
Mean307732303.8
Median Absolute Deviation (MAD)122830000
Skewness2.978878642
Sum1.56943475e+10
Variance1.443391802e+17
MonotocityNot monotonic
2020-11-24T21:53:32.393503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
34137093612.0%
 
7605746412.0%
 
4992786412.0%
 
13828917212.0%
 
17837802812.0%
 
11515109212.0%
 
3075900412.0%
 
14530954012.0%
 
28363322012.0%
 
12004510012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
3075900412.0%
 
3246462012.0%
 
4151622812.0%
 
4166388012.0%
 
4199145612.0%
 
ValueCountFrequency (%) 
214428746812.0%
 
129869869612.0%
 
117385606812.0%
 
91652773612.0%
 
65733506812.0%
 

2016Q1_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean308674193.5
Minimum31055227
Maximum2151949946
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:32.528268image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum31055227
5-th percentile40774354
Q173596106
median188208271
Q3401326526.5
95-th percentile1052384466
Maximum2151949946
Range2120894719
Interquartile range (IQR)327730420.5

Descriptive statistics

Standard deviation381633718.2
Coefficient of variation (CV)1.236364187
Kurtosis11.0231682
Mean308674193.5
Median Absolute Deviation (MAD)123934785
Skewness2.978394969
Sum1.574238387e+10
Variance1.456442949e+17
MonotocityNot monotonic
2020-11-24T21:53:32.664826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
17235699112.0%
 
13857872012.0%
 
12443306612.0%
 
41903339012.0%
 
10645674912.0%
 
20116957812.0%
 
43312477712.0%
 
24949019112.0%
 
28386167012.0%
 
42516304512.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
3105522712.0%
 
3243265512.0%
 
4077400712.0%
 
4077470112.0%
 
4102030812.0%
 
ValueCountFrequency (%) 
215194994612.0%
 
130685571312.0%
 
118083352412.0%
 
92393540812.0%
 
65885059312.0%
 

2016Q2_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312384997.6
Minimum31084056
Maximum2184691060
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:32.817249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum31084056
5-th percentile41013379
Q174534888
median190042539
Q3406473726.5
95-th percentile1065548649
Maximum2184691060
Range2153607004
Interquartile range (IQR)331938838.5

Descriptive statistics

Standard deviation386803868.2
Coefficient of variation (CV)1.238228056
Kurtosis11.10531516
Mean312384997.6
Median Absolute Deviation (MAD)124465210
Skewness2.987328678
Sum1.593163488e+10
Variance1.496172325e+17
MonotocityNot monotonic
2020-11-24T21:53:32.960641image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14034867012.0%
 
3224728212.0%
 
17821380912.0%
 
7722859212.0%
 
93787094412.0%
 
9384657212.0%
 
19004253912.0%
 
26549546512.0%
 
12317233212.0%
 
44950687012.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
3108405612.0%
 
3224728212.0%
 
4078134312.0%
 
4124541512.0%
 
4160642112.0%
 
ValueCountFrequency (%) 
218469106012.0%
 
131986851212.0%
 
119322635412.0%
 
93787094412.0%
 
66670482212.0%
 

2016Q3_personal_income
Real number (ℝ≥0)

UNIQUE

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean315866032.1
Minimum31411472
Maximum2208600196
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:33.098063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum31411472
5-th percentile41473295
Q175368453.5
median191842988
Q3410246925
95-th percentile1078200538
Maximum2208600196
Range2177188724
Interquartile range (IQR)334878471.5

Descriptive statistics

Standard deviation391253205.2
Coefficient of variation (CV)1.238668187
Kurtosis11.08236309
Mean315866032.1
Median Absolute Deviation (MAD)125685725
Skewness2.984893225
Sum1.610916764e+10
Variance1.530790706e+17
MonotocityNot monotonic
2020-11-24T21:53:33.222993image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7820774012.0%
 
44545065212.0%
 
28950353512.0%
 
4181790212.0%
 
14179319612.0%
 
5188266612.0%
 
17594960912.0%
 
4651690412.0%
 
43216605412.0%
 
18641321812.0%
 
Other values (41)4180.4%
 
ValueCountFrequency (%) 
3141147212.0%
 
3240469412.0%
 
4112868812.0%
 
4181790212.0%
 
4209951212.0%
 
ValueCountFrequency (%) 
220860019612.0%
 
133555509212.0%
 
120821263812.0%
 
94818843912.0%
 
67352830312.0%
 

2000/01_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.901960784
Minimum2.4
Maximum6.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:33.342219image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile2.65
Q13.15
median3.8
Q34.65
95-th percentile5.5
Maximum6.3
Range3.9
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.9464650434
Coefficient of variation (CV)0.242561393
Kurtosis-0.4905997108
Mean3.901960784
Median Absolute Deviation (MAD)0.7
Skewness0.4506685892
Sum199
Variance0.8957960784
MonotocityNot monotonic
2020-11-24T21:53:33.451286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
4.159.8%
 
535.9%
 
3.735.9%
 
3.235.9%
 
3.135.9%
 
4.735.9%
 
2.835.9%
 
5.123.9%
 
323.9%
 
423.9%
 
Other values (17)2243.1%
 
ValueCountFrequency (%) 
2.423.9%
 
2.612.0%
 
2.723.9%
 
2.835.9%
 
323.9%
 
ValueCountFrequency (%) 
6.312.0%
 
5.812.0%
 
5.612.0%
 
5.412.0%
 
5.123.9%
 

2000/02_ur
Real number (ℝ≥0)

Distinct26
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.860784314
Minimum2.4
Maximum6.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:33.569533image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile2.55
Q13.15
median3.7
Q34.6
95-th percentile5.45
Maximum6.3
Range3.9
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation0.9400166874
Coefficient of variation (CV)0.2434781669
Kurtosis-0.4639450092
Mean3.860784314
Median Absolute Deviation (MAD)0.7
Skewness0.4463581265
Sum196.9
Variance0.8836313725
MonotocityNot monotonic
2020-11-24T21:53:33.673244image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
4.659.8%
 
547.8%
 
3.935.9%
 
2.835.9%
 
3.235.9%
 
435.9%
 
3.735.9%
 
3.423.9%
 
323.9%
 
3.123.9%
 
Other values (16)2141.2%
 
ValueCountFrequency (%) 
2.423.9%
 
2.512.0%
 
2.612.0%
 
2.723.9%
 
2.835.9%
 
ValueCountFrequency (%) 
6.312.0%
 
5.612.0%
 
5.512.0%
 
5.412.0%
 
5.112.0%
 

2000/03_ur
Real number (ℝ≥0)

Distinct25
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.854901961
Minimum2.4
Maximum6.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:33.784153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile2.5
Q13.15
median3.7
Q34.55
95-th percentile5.45
Maximum6.3
Range3.9
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation0.9368700498
Coefficient of variation (CV)0.243033431
Kurtosis-0.4183202458
Mean3.854901961
Median Absolute Deviation (MAD)0.7
Skewness0.416704679
Sum196.6
Variance0.8777254902
MonotocityNot monotonic
2020-11-24T21:53:33.890315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
447.8%
 
547.8%
 
3.335.9%
 
3.635.9%
 
2.435.9%
 
3.535.9%
 
4.635.9%
 
4.523.9%
 
323.9%
 
5.523.9%
 
Other values (15)2243.1%
 
ValueCountFrequency (%) 
2.435.9%
 
2.623.9%
 
2.723.9%
 
2.823.9%
 
323.9%
 
ValueCountFrequency (%) 
6.312.0%
 
5.523.9%
 
5.412.0%
 
5.112.0%
 
547.8%
 

2000/04_ur
Real number (ℝ≥0)

Distinct26
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.850980392
Minimum2.4
Maximum6.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:34.001452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile2.5
Q13.2
median3.7
Q34.45
95-th percentile5.4
Maximum6.3
Range3.9
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.9304563502
Coefficient of variation (CV)0.2416154474
Kurtosis-0.3779561087
Mean3.850980392
Median Absolute Deviation (MAD)0.7
Skewness0.4212357629
Sum196.4
Variance0.8657490196
MonotocityNot monotonic
2020-11-24T21:53:34.110869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
459.8%
 
3.747.8%
 
2.747.8%
 
3.335.9%
 
3.435.9%
 
535.9%
 
4.623.9%
 
2.523.9%
 
3.523.9%
 
3.123.9%
 
Other values (16)2141.2%
 
ValueCountFrequency (%) 
2.423.9%
 
2.523.9%
 
2.747.8%
 
2.812.0%
 
2.912.0%
 
ValueCountFrequency (%) 
6.312.0%
 
5.512.0%
 
5.423.9%
 
5.123.9%
 
535.9%
 

2000/05_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.856862745
Minimum2.3
Maximum6.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:34.224079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile2.45
Q13.25
median3.8
Q34.4
95-th percentile5.4
Maximum6.3
Range4
Interquartile range (IQR)1.15

Descriptive statistics

Standard deviation0.9383506598
Coefficient of variation (CV)0.2432937654
Kurtosis-0.3591432356
Mean3.856862745
Median Absolute Deviation (MAD)0.6
Skewness0.3740767774
Sum196.7
Variance0.8805019608
MonotocityNot monotonic
2020-11-24T21:53:34.338239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
3.559.8%
 
5.147.8%
 
447.8%
 
2.735.9%
 
3.835.9%
 
3.735.9%
 
3.335.9%
 
4.335.9%
 
2.423.9%
 
5.423.9%
 
Other values (17)1937.3%
 
ValueCountFrequency (%) 
2.312.0%
 
2.423.9%
 
2.512.0%
 
2.612.0%
 
2.735.9%
 
ValueCountFrequency (%) 
6.312.0%
 
5.512.0%
 
5.423.9%
 
5.147.8%
 
512.0%
 

2000/06_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.884313725
Minimum2.3
Maximum6.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:34.462359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile2.5
Q13.25
median3.8
Q34.4
95-th percentile5.4
Maximum6.4
Range4.1
Interquartile range (IQR)1.15

Descriptive statistics

Standard deviation0.9366691089
Coefficient of variation (CV)0.2411414667
Kurtosis-0.2070735661
Mean3.884313725
Median Absolute Deviation (MAD)0.6
Skewness0.3445100456
Sum198.1
Variance0.8773490196
MonotocityNot monotonic
2020-11-24T21:53:34.563767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
3.659.8%
 
4.159.8%
 
3.847.8%
 
2.823.9%
 
3.723.9%
 
2.323.9%
 
4.623.9%
 
3.323.9%
 
5.423.9%
 
4.323.9%
 
Other values (18)2345.1%
 
ValueCountFrequency (%) 
2.323.9%
 
2.412.0%
 
2.623.9%
 
2.723.9%
 
2.823.9%
 
ValueCountFrequency (%) 
6.412.0%
 
5.512.0%
 
5.423.9%
 
5.212.0%
 
5.123.9%
 

2000/07_ur
Real number (ℝ≥0)

Distinct25
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.901960784
Minimum2.3
Maximum6.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:34.664130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile2.5
Q13.2
median3.8
Q34.4
95-th percentile5.4
Maximum6.4
Range4.1
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation0.9349845338
Coefficient of variation (CV)0.2396191519
Kurtosis-0.1968943033
Mean3.901960784
Median Absolute Deviation (MAD)0.7
Skewness0.3374448917
Sum199
Variance0.8741960784
MonotocityNot monotonic
2020-11-24T21:53:34.762622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
4.159.8%
 
3.747.8%
 
3.847.8%
 
5.235.9%
 
4.235.9%
 
3.935.9%
 
3.135.9%
 
3.623.9%
 
5.423.9%
 
2.323.9%
 
Other values (15)2039.2%
 
ValueCountFrequency (%) 
2.323.9%
 
2.412.0%
 
2.623.9%
 
2.712.0%
 
2.823.9%
 
ValueCountFrequency (%) 
6.412.0%
 
5.512.0%
 
5.423.9%
 
5.235.9%
 
523.9%
 

2000/08_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.907843137
Minimum2.2
Maximum6.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:34.871065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile2.55
Q13.25
median3.8
Q34.4
95-th percentile5.4
Maximum6.4
Range4.2
Interquartile range (IQR)1.15

Descriptive statistics

Standard deviation0.9380497081
Coefficient of variation (CV)0.2400428255
Kurtosis-0.1292857533
Mean3.907843137
Median Absolute Deviation (MAD)0.6
Skewness0.3303364947
Sum199.3
Variance0.8799372549
MonotocityNot monotonic
2020-11-24T21:53:34.982617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
4.259.8%
 
3.847.8%
 
3.747.8%
 
3.635.9%
 
335.9%
 
3.935.9%
 
5.223.9%
 
2.223.9%
 
2.823.9%
 
4.123.9%
 
Other values (17)2141.2%
 
ValueCountFrequency (%) 
2.223.9%
 
2.512.0%
 
2.612.0%
 
2.723.9%
 
2.823.9%
 
ValueCountFrequency (%) 
6.412.0%
 
5.612.0%
 
5.512.0%
 
5.323.9%
 
5.223.9%
 

2000/09_ur
Real number (ℝ≥0)

Distinct26
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.925490196
Minimum2.2
Maximum6.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:35.095706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile2.55
Q13.3
median3.9
Q34.45
95-th percentile5.45
Maximum6.4
Range4.2
Interquartile range (IQR)1.15

Descriptive statistics

Standard deviation0.9444242981
Coefficient of variation (CV)0.2405876084
Kurtosis-0.1333518312
Mean3.925490196
Median Absolute Deviation (MAD)0.6
Skewness0.2972275667
Sum200.2
Variance0.8919372549
MonotocityNot monotonic
2020-11-24T21:53:35.204513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
3.9611.8%
 
3.759.8%
 
2.935.9%
 
4.935.9%
 
4.235.9%
 
4.135.9%
 
4.523.9%
 
3.323.9%
 
5.223.9%
 
2.623.9%
 
Other values (16)2039.2%
 
ValueCountFrequency (%) 
2.223.9%
 
2.512.0%
 
2.623.9%
 
2.712.0%
 
2.812.0%
 
ValueCountFrequency (%) 
6.412.0%
 
5.712.0%
 
5.512.0%
 
5.412.0%
 
5.312.0%
 

2000/10_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.92745098
Minimum2.1
Maximum6.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:35.316066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.1
5-th percentile2.55
Q13.3
median3.9
Q34.4
95-th percentile5.5
Maximum6.4
Range4.3
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.9493320665
Coefficient of variation (CV)0.2417171013
Kurtosis-0.0697626375
Mean3.92745098
Median Absolute Deviation (MAD)0.6
Skewness0.2706027651
Sum200.3
Variance0.9012313725
MonotocityNot monotonic
2020-11-24T21:53:35.418101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
2.947.8%
 
447.8%
 
3.947.8%
 
3.747.8%
 
3.835.9%
 
4.435.9%
 
5.123.9%
 
5.523.9%
 
4.923.9%
 
3.323.9%
 
Other values (17)2141.2%
 
ValueCountFrequency (%) 
2.112.0%
 
2.212.0%
 
2.512.0%
 
2.623.9%
 
2.712.0%
 
ValueCountFrequency (%) 
6.412.0%
 
5.812.0%
 
5.523.9%
 
5.312.0%
 
5.123.9%
 

2000/11_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.945098039
Minimum2.1
Maximum6.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:35.540623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.1
5-th percentile2.6
Q13.3
median3.9
Q34.5
95-th percentile5.5
Maximum6.4
Range4.3
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation0.9449473478
Coefficient of variation (CV)0.2395244271
Kurtosis-0.0602255744
Mean3.945098039
Median Absolute Deviation (MAD)0.6
Skewness0.3009810084
Sum201.2
Variance0.8929254902
MonotocityNot monotonic
2020-11-24T21:53:35.652917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
3.859.8%
 
2.959.8%
 
4.347.8%
 
3.735.9%
 
3.935.9%
 
4.135.9%
 
4.823.9%
 
4.523.9%
 
2.623.9%
 
423.9%
 
Other values (17)2039.2%
 
ValueCountFrequency (%) 
2.112.0%
 
2.312.0%
 
2.623.9%
 
2.723.9%
 
2.959.8%
 
ValueCountFrequency (%) 
6.412.0%
 
5.912.0%
 
5.612.0%
 
5.423.9%
 
5.112.0%
 

2000/12_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.980392157
Minimum2.2
Maximum6.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:35.765249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile2.6
Q13.3
median3.9
Q34.55
95-th percentile5.55
Maximum6.4
Range4.2
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.9455198798
Coefficient of variation (CV)0.2375444033
Kurtosis-0.09846331886
Mean3.980392157
Median Absolute Deviation (MAD)0.7
Skewness0.3124489598
Sum203
Variance0.8940078431
MonotocityNot monotonic
2020-11-24T21:53:35.879282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
2.959.8%
 
3.947.8%
 
3.847.8%
 
435.9%
 
4.335.9%
 
4.735.9%
 
4.423.9%
 
2.623.9%
 
5.423.9%
 
3.723.9%
 
Other values (20)2141.2%
 
ValueCountFrequency (%) 
2.212.0%
 
2.412.0%
 
2.623.9%
 
2.712.0%
 
2.812.0%
 
ValueCountFrequency (%) 
6.412.0%
 
612.0%
 
5.712.0%
 
5.423.9%
 
5.212.0%
 

2001/01_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.039215686
Minimum2.3
Maximum6.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:35.990063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile2.7
Q13.35
median4
Q34.65
95-th percentile5.7
Maximum6.3
Range4
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation0.9342544474
Coefficient of variation (CV)0.231296004
Kurtosis-0.223734753
Mean4.039215686
Median Absolute Deviation (MAD)0.7
Skewness0.3302398366
Sum206
Variance0.8728313725
MonotocityNot monotonic
2020-11-24T21:53:36.095816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
3.859.8%
 
3.935.9%
 
335.9%
 
4.835.9%
 
4.435.9%
 
4.123.9%
 
423.9%
 
5.323.9%
 
4.223.9%
 
2.823.9%
 
Other values (19)2447.1%
 
ValueCountFrequency (%) 
2.312.0%
 
2.612.0%
 
2.723.9%
 
2.823.9%
 
2.923.9%
 
ValueCountFrequency (%) 
6.312.0%
 
6.112.0%
 
5.812.0%
 
5.612.0%
 
5.323.9%
 

2001/02_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.105882353
Minimum2.5
Maximum6.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:36.220188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile2.8
Q13.45
median4.1
Q34.65
95-th percentile5.75
Maximum6.3
Range3.8
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation0.9246430154
Coefficient of variation (CV)0.2251995883
Kurtosis-0.3616325994
Mean4.105882353
Median Absolute Deviation (MAD)0.6
Skewness0.2852955873
Sum209.4
Variance0.8549647059
MonotocityNot monotonic
2020-11-24T21:53:36.326138image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
4.659.8%
 
2.847.8%
 
4.235.9%
 
4.135.9%
 
335.9%
 
4.423.9%
 
3.423.9%
 
3.923.9%
 
3.823.9%
 
423.9%
 
Other values (19)2345.1%
 
ValueCountFrequency (%) 
2.512.0%
 
2.712.0%
 
2.847.8%
 
2.912.0%
 
335.9%
 
ValueCountFrequency (%) 
6.312.0%
 
6.112.0%
 
5.812.0%
 
5.712.0%
 
5.412.0%
 

2001/03_ur
Real number (ℝ≥0)

Distinct26
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.178431373
Minimum2.6
Maximum6.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:38.159324image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile2.9
Q13.55
median4.2
Q34.75
95-th percentile5.75
Maximum6.3
Range3.7
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation0.9011800543
Coefficient of variation (CV)0.2156742504
Kurtosis-0.4228160827
Mean4.178431373
Median Absolute Deviation (MAD)0.6
Skewness0.2848520278
Sum213.1
Variance0.8121254902
MonotocityNot monotonic
2020-11-24T21:53:38.266260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
4.759.8%
 
4.247.8%
 
2.935.9%
 
3.735.9%
 
4.835.9%
 
435.9%
 
5.135.9%
 
3.123.9%
 
4.323.9%
 
3.523.9%
 
Other values (16)2141.2%
 
ValueCountFrequency (%) 
2.612.0%
 
2.812.0%
 
2.935.9%
 
323.9%
 
3.123.9%
 
ValueCountFrequency (%) 
6.312.0%
 
6.112.0%
 
5.812.0%
 
5.712.0%
 
5.612.0%
 

2001/04_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.245098039
Minimum2.8
Maximum6.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:38.382041image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile2.95
Q13.65
median4.3
Q34.8
95-th percentile5.85
Maximum6.3
Range3.5
Interquartile range (IQR)1.15

Descriptive statistics

Standard deviation0.9000697141
Coefficient of variation (CV)0.2120256601
Kurtosis-0.4785284877
Mean4.245098039
Median Absolute Deviation (MAD)0.6
Skewness0.2755470253
Sum216.5
Variance0.8101254902
MonotocityNot monotonic
2020-11-24T21:53:38.494195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
4.8611.8%
 
3.847.8%
 
535.9%
 
3.235.9%
 
3.735.9%
 
4.335.9%
 
335.9%
 
4.123.9%
 
2.823.9%
 
4.623.9%
 
Other values (17)2039.2%
 
ValueCountFrequency (%) 
2.823.9%
 
2.912.0%
 
335.9%
 
3.112.0%
 
3.235.9%
 
ValueCountFrequency (%) 
6.312.0%
 
6.212.0%
 
5.912.0%
 
5.812.0%
 
5.612.0%
 

2001/05_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.315686275
Minimum2.8
Maximum6.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:38.616057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3
Q13.65
median4.3
Q34.9
95-th percentile6
Maximum6.4
Range3.6
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.9034096632
Coefficient of variation (CV)0.2093316348
Kurtosis-0.4146587829
Mean4.315686275
Median Absolute Deviation (MAD)0.6
Skewness0.3112200245
Sum220.1
Variance0.8161490196
MonotocityNot monotonic
2020-11-24T21:53:38.724918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
4.959.8%
 
4.247.8%
 
4.435.9%
 
3.935.9%
 
3.235.9%
 
5.135.9%
 
4.723.9%
 
5.223.9%
 
623.9%
 
3.823.9%
 
Other values (18)2243.1%
 
ValueCountFrequency (%) 
2.812.0%
 
2.912.0%
 
323.9%
 
3.112.0%
 
3.235.9%
 
ValueCountFrequency (%) 
6.412.0%
 
6.312.0%
 
623.9%
 
5.512.0%
 
5.223.9%
 

2001/06_ur
Real number (ℝ≥0)

Distinct26
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4
Minimum2.8
Maximum6.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:38.841425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.1
Q13.75
median4.3
Q34.9
95-th percentile6.15
Maximum6.4
Range3.6
Interquartile range (IQR)1.15

Descriptive statistics

Standard deviation0.8906177631
Coefficient of variation (CV)0.202413128
Kurtosis-0.3793453796
Mean4.4
Median Absolute Deviation (MAD)0.6
Skewness0.3083385065
Sum224.4
Variance0.7932
MonotocityNot monotonic
2020-11-24T21:53:38.949700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
4.959.8%
 
4.347.8%
 
4.835.9%
 
5.335.9%
 
3.135.9%
 
4.635.9%
 
4.135.9%
 
3.823.9%
 
3.923.9%
 
523.9%
 
Other values (16)2141.2%
 
ValueCountFrequency (%) 
2.812.0%
 
3.135.9%
 
3.223.9%
 
3.323.9%
 
3.412.0%
 
ValueCountFrequency (%) 
6.412.0%
 
6.312.0%
 
6.212.0%
 
6.112.0%
 
5.512.0%
 

2001/07_ur
Real number (ℝ≥0)

Distinct23
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.509803922
Minimum2.9
Maximum6.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:39.061461image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile3.25
Q13.8
median4.5
Q35.1
95-th percentile6.35
Maximum6.4
Range3.5
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation0.9000566431
Coefficient of variation (CV)0.1995777774
Kurtosis-0.4038673179
Mean4.509803922
Median Absolute Deviation (MAD)0.6
Skewness0.2926190294
Sum230
Variance0.8101019608
MonotocityNot monotonic
2020-11-24T21:53:39.164774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%) 
3.359.8%
 
4.247.8%
 
4.847.8%
 
5.135.9%
 
5.535.9%
 
4.535.9%
 
4.435.9%
 
3.835.9%
 
6.435.9%
 
535.9%
 
Other values (13)1733.3%
 
ValueCountFrequency (%) 
2.912.0%
 
3.112.0%
 
3.212.0%
 
3.359.8%
 
3.512.0%
 
ValueCountFrequency (%) 
6.435.9%
 
6.312.0%
 
5.535.9%
 
5.423.9%
 
5.223.9%
 

2001/08_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.637254902
Minimum2.9
Maximum6.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:39.280918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile3.25
Q13.95
median4.6
Q35.25
95-th percentile6.45
Maximum6.7
Range3.8
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation0.9288618378
Coefficient of variation (CV)0.2003042441
Kurtosis-0.3940539723
Mean4.637254902
Median Absolute Deviation (MAD)0.7
Skewness0.233172937
Sum236.5
Variance0.8627843137
MonotocityNot monotonic
2020-11-24T21:53:39.388771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
547.8%
 
4.447.8%
 
4.635.9%
 
5.235.9%
 
5.635.9%
 
3.335.9%
 
4.123.9%
 
4.523.9%
 
3.223.9%
 
4.723.9%
 
Other values (17)2345.1%
 
ValueCountFrequency (%) 
2.912.0%
 
3.223.9%
 
3.335.9%
 
3.412.0%
 
3.512.0%
 
ValueCountFrequency (%) 
6.712.0%
 
6.523.9%
 
6.412.0%
 
5.812.0%
 
5.635.9%
 

2001/09_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8
Minimum3
Maximum7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:39.503366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.3
Q14.1
median4.8
Q35.45
95-th percentile6.5
Maximum7
Range4
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation0.9551963149
Coefficient of variation (CV)0.1989992323
Kurtosis-0.4343219571
Mean4.8
Median Absolute Deviation (MAD)0.7
Skewness0.12124052
Sum244.8
Variance0.9124
MonotocityNot monotonic
2020-11-24T21:53:39.626360image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
4.747.8%
 
4.847.8%
 
4.435.9%
 
4.135.9%
 
3.323.9%
 
3.823.9%
 
5.523.9%
 
5.123.9%
 
5.423.9%
 
5.623.9%
 
Other values (20)2549.0%
 
ValueCountFrequency (%) 
312.0%
 
3.212.0%
 
3.323.9%
 
3.423.9%
 
3.512.0%
 
ValueCountFrequency (%) 
712.0%
 
6.612.0%
 
6.523.9%
 
612.0%
 
5.923.9%
 

2001/10_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.982352941
Minimum3.1
Maximum7.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:39.750081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile3.3
Q14.25
median4.9
Q35.75
95-th percentile6.55
Maximum7.3
Range4.2
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.006718607
Coefficient of variation (CV)0.2020568632
Kurtosis-0.5254736367
Mean4.982352941
Median Absolute Deviation (MAD)0.8
Skewness0.0245649722
Sum254.1
Variance1.013482353
MonotocityNot monotonic
2020-11-24T21:53:39.866585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
4.9611.8%
 
5.847.8%
 
3.335.9%
 
535.9%
 
4.535.9%
 
5.335.9%
 
4.123.9%
 
5.623.9%
 
6.123.9%
 
5.723.9%
 
Other values (20)2141.2%
 
ValueCountFrequency (%) 
3.112.0%
 
3.335.9%
 
3.523.9%
 
3.612.0%
 
3.812.0%
 
ValueCountFrequency (%) 
7.312.0%
 
6.912.0%
 
6.612.0%
 
6.512.0%
 
6.312.0%
 

2001/11_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.131372549
Minimum3.2
Maximum7.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:39.981636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile3.4
Q14.45
median5.1
Q35.9
95-th percentile6.6
Maximum7.6
Range4.4
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.040286537
Coefficient of variation (CV)0.2027306587
Kurtosis-0.4852578201
Mean5.131372549
Median Absolute Deviation (MAD)0.8
Skewness-0.005145165905
Sum261.7
Variance1.082196078
MonotocityNot monotonic
2020-11-24T21:53:40.083658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
5.1611.8%
 
5.947.8%
 
4.135.9%
 
3.423.9%
 
5.523.9%
 
623.9%
 
4.523.9%
 
5.223.9%
 
5.823.9%
 
6.623.9%
 
Other values (19)2447.1%
 
ValueCountFrequency (%) 
3.212.0%
 
3.312.0%
 
3.423.9%
 
3.623.9%
 
3.712.0%
 
ValueCountFrequency (%) 
7.612.0%
 
7.112.0%
 
6.623.9%
 
6.512.0%
 
6.412.0%
 

2001/12_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.252941176
Minimum3.3
Maximum7.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:40.195462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.45
Q14.5
median5.3
Q36
95-th percentile6.7
Maximum7.9
Range4.6
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.069832312
Coefficient of variation (CV)0.2036634861
Kurtosis-0.3879912613
Mean5.252941176
Median Absolute Deviation (MAD)0.7
Skewness0.006161408151
Sum267.9
Variance1.144541176
MonotocityNot monotonic
2020-11-24T21:53:40.321207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
5.3611.8%
 
647.8%
 
5.235.9%
 
6.623.9%
 
3.823.9%
 
4.823.9%
 
4.223.9%
 
3.723.9%
 
6.223.9%
 
5.423.9%
 
Other values (20)2447.1%
 
ValueCountFrequency (%) 
3.312.0%
 
3.423.9%
 
3.512.0%
 
3.723.9%
 
3.823.9%
 
ValueCountFrequency (%) 
7.912.0%
 
7.312.0%
 
6.723.9%
 
6.623.9%
 
6.412.0%
 

2002/01_ur
Real number (ℝ≥0)

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.335294118
Minimum3.4
Maximum8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:40.445209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile3.55
Q14.55
median5.4
Q36.1
95-th percentile6.8
Maximum8
Range4.6
Interquartile range (IQR)1.55

Descriptive statistics

Standard deviation1.071787951
Coefficient of variation (CV)0.2008863855
Kurtosis-0.3846841266
Mean5.335294118
Median Absolute Deviation (MAD)0.7
Skewness0.009945778382
Sum272.1
Variance1.148729412
MonotocityNot monotonic
2020-11-24T21:53:40.570129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
6.147.8%
 
5.447.8%
 
5.535.9%
 
3.935.9%
 
5.623.9%
 
623.9%
 
4.523.9%
 
5.323.9%
 
5.923.9%
 
4.623.9%
 
Other values (22)2549.0%
 
ValueCountFrequency (%) 
3.423.9%
 
3.512.0%
 
3.612.0%
 
3.812.0%
 
3.935.9%
 
ValueCountFrequency (%) 
812.0%
 
7.412.0%
 
6.823.9%
 
6.712.0%
 
6.612.0%
 

2002/02_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.398039216
Minimum3.4
Maximum7.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:40.683533image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile3.6
Q14.6
median5.6
Q36.1
95-th percentile6.9
Maximum7.9
Range4.5
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.06554966
Coefficient of variation (CV)0.1973956871
Kurtosis-0.4824921751
Mean5.398039216
Median Absolute Deviation (MAD)0.7
Skewness-0.02606830072
Sum275.3
Variance1.135396078
MonotocityNot monotonic
2020-11-24T21:53:40.795806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
5.747.8%
 
4.635.9%
 
6.235.9%
 
5.435.9%
 
3.635.9%
 
6.135.9%
 
5.635.9%
 
6.623.9%
 
423.9%
 
523.9%
 
Other values (19)2345.1%
 
ValueCountFrequency (%) 
3.412.0%
 
3.635.9%
 
3.812.0%
 
3.912.0%
 
423.9%
 
ValueCountFrequency (%) 
7.912.0%
 
7.512.0%
 
6.923.9%
 
6.812.0%
 
6.623.9%
 

2002/03_ur
Real number (ℝ≥0)

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.417647059
Minimum3.3
Maximum7.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:40.919474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.7
Q14.6
median5.6
Q36.05
95-th percentile7
Maximum7.8
Range4.5
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.0527499
Coefficient of variation (CV)0.194318657
Kurtosis-0.5245753342
Mean5.417647059
Median Absolute Deviation (MAD)0.7
Skewness-0.03291679211
Sum276.3
Variance1.108282353
MonotocityNot monotonic
2020-11-24T21:53:41.040655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
5.747.8%
 
5.635.9%
 
5.935.9%
 
5.535.9%
 
3.735.9%
 
4.623.9%
 
6.523.9%
 
423.9%
 
5.123.9%
 
623.9%
 
Other values (22)2549.0%
 
ValueCountFrequency (%) 
3.312.0%
 
3.735.9%
 
3.912.0%
 
423.9%
 
4.112.0%
 
ValueCountFrequency (%) 
7.812.0%
 
7.512.0%
 
7.112.0%
 
6.912.0%
 
6.812.0%
 

2002/04_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.421568627
Minimum3.3
Maximum7.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:41.152781image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.8
Q14.5
median5.6
Q36.1
95-th percentile7
Maximum7.6
Range4.3
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.043132537
Coefficient of variation (CV)0.1924041931
Kurtosis-0.631504328
Mean5.421568627
Median Absolute Deviation (MAD)0.7
Skewness-0.04896474464
Sum276.5
Variance1.08812549
MonotocityNot monotonic
2020-11-24T21:53:41.249313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
4.547.8%
 
5.847.8%
 
5.647.8%
 
6.323.9%
 
6.823.9%
 
423.9%
 
5.523.9%
 
3.723.9%
 
5.723.9%
 
5.423.9%
 
Other values (19)2549.0%
 
ValueCountFrequency (%) 
3.312.0%
 
3.723.9%
 
3.923.9%
 
423.9%
 
4.112.0%
 
ValueCountFrequency (%) 
7.612.0%
 
7.512.0%
 
7.212.0%
 
6.823.9%
 
6.712.0%
 

2002/05_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.396078431
Minimum3.2
Maximum7.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:41.356141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile3.85
Q14.5
median5.6
Q36.1
95-th percentile7.05
Maximum7.5
Range4.3
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.037874903
Coefficient of variation (CV)0.1923387356
Kurtosis-0.6121566992
Mean5.396078431
Median Absolute Deviation (MAD)0.8
Skewness-0.007007635013
Sum275.2
Variance1.077184314
MonotocityNot monotonic
2020-11-24T21:53:41.458984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
5.659.8%
 
5.335.9%
 
6.435.9%
 
4.335.9%
 
6.235.9%
 
5.935.9%
 
5.823.9%
 
4.123.9%
 
423.9%
 
4.523.9%
 
Other values (18)2345.1%
 
ValueCountFrequency (%) 
3.212.0%
 
3.712.0%
 
3.812.0%
 
3.912.0%
 
423.9%
 
ValueCountFrequency (%) 
7.523.9%
 
7.312.0%
 
6.812.0%
 
6.723.9%
 
6.612.0%
 

2002/06_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.358823529
Minimum3.1
Maximum7.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:41.570814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile3.9
Q14.45
median5.5
Q36.05
95-th percentile7
Maximum7.4
Range4.3
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.02042667
Coefficient of variation (CV)0.1904199054
Kurtosis-0.5784193952
Mean5.358823529
Median Absolute Deviation (MAD)0.8
Skewness-0.01822093767
Sum273.3
Variance1.041270588
MonotocityNot monotonic
2020-11-24T21:53:41.691158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
5.6611.8%
 
5.535.9%
 
435.9%
 
4.535.9%
 
6.635.9%
 
5.823.9%
 
523.9%
 
4.223.9%
 
4.423.9%
 
7.423.9%
 
Other values (17)2345.1%
 
ValueCountFrequency (%) 
3.112.0%
 
3.712.0%
 
3.812.0%
 
435.9%
 
4.112.0%
 
ValueCountFrequency (%) 
7.423.9%
 
7.312.0%
 
6.712.0%
 
6.635.9%
 
6.412.0%
 

2002/07_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.323529412
Minimum3
Maximum7.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:41.809175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.9
Q14.45
median5.4
Q36.05
95-th percentile6.95
Maximum7.4
Range4.4
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.021486806
Coefficient of variation (CV)0.1918814994
Kurtosis-0.5180737794
Mean5.323529412
Median Absolute Deviation (MAD)0.8
Skewness-0.02740818094
Sum271.5
Variance1.043435294
MonotocityNot monotonic
2020-11-24T21:53:41.922252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
5.447.8%
 
447.8%
 
5.647.8%
 
4.535.9%
 
5.523.9%
 
7.423.9%
 
5.123.9%
 
6.123.9%
 
6.523.9%
 
4.423.9%
 
Other values (19)2447.1%
 
ValueCountFrequency (%) 
312.0%
 
3.612.0%
 
3.812.0%
 
447.8%
 
4.112.0%
 
ValueCountFrequency (%) 
7.423.9%
 
7.212.0%
 
6.712.0%
 
6.612.0%
 
6.523.9%
 

2002/08_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.311764706
Minimum3
Maximum7.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:42.031860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.9
Q14.45
median5.4
Q36
95-th percentile6.95
Maximum7.5
Range4.5
Interquartile range (IQR)1.55

Descriptive statistics

Standard deviation1.015016662
Coefficient of variation (CV)0.1910884081
Kurtosis-0.4455740117
Mean5.311764706
Median Absolute Deviation (MAD)0.8
Skewness-0.008125378274
Sum270.9
Variance1.030258824
MonotocityNot monotonic
2020-11-24T21:53:42.142216image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
459.8%
 
5.647.8%
 
5.447.8%
 
5.535.9%
 
6.523.9%
 
4.323.9%
 
6.223.9%
 
5.823.9%
 
4.623.9%
 
623.9%
 
Other values (20)2345.1%
 
ValueCountFrequency (%) 
312.0%
 
3.612.0%
 
3.812.0%
 
459.8%
 
4.212.0%
 
ValueCountFrequency (%) 
7.512.0%
 
7.312.0%
 
7.212.0%
 
6.712.0%
 
6.612.0%
 

2002/09_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.315686275
Minimum3.1
Maximum7.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:42.258354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile3.85
Q14.45
median5.4
Q36
95-th percentile7
Maximum7.5
Range4.4
Interquartile range (IQR)1.55

Descriptive statistics

Standard deviation1.006851041
Coefficient of variation (CV)0.1894112988
Kurtosis-0.4185854256
Mean5.315686275
Median Absolute Deviation (MAD)0.7
Skewness0.001315662499
Sum271.1
Variance1.01374902
MonotocityNot monotonic
2020-11-24T21:53:42.381506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
5.735.9%
 
635.9%
 
5.635.9%
 
6.435.9%
 
5.435.9%
 
5.323.9%
 
4.323.9%
 
5.523.9%
 
423.9%
 
7.323.9%
 
Other values (20)2651.0%
 
ValueCountFrequency (%) 
3.112.0%
 
3.612.0%
 
3.812.0%
 
3.923.9%
 
423.9%
 
ValueCountFrequency (%) 
7.512.0%
 
7.323.9%
 
6.712.0%
 
6.512.0%
 
6.435.9%
 

2002/10_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.337254902
Minimum3.1
Maximum7.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:42.513374image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile3.8
Q14.5
median5.4
Q36
95-th percentile7
Maximum7.5
Range4.4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.003386423
Coefficient of variation (CV)0.1879967214
Kurtosis-0.4105064183
Mean5.337254902
Median Absolute Deviation (MAD)0.7
Skewness-0.01446116648
Sum272.2
Variance1.006784314
MonotocityNot monotonic
2020-11-24T21:53:42.634566image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
5.447.8%
 
535.9%
 
5.635.9%
 
5.323.9%
 
5.923.9%
 
6.523.9%
 
623.9%
 
4.523.9%
 
4.823.9%
 
6.423.9%
 
Other values (19)2752.9%
 
ValueCountFrequency (%) 
3.112.0%
 
3.712.0%
 
3.823.9%
 
3.912.0%
 
412.0%
 
ValueCountFrequency (%) 
7.512.0%
 
7.323.9%
 
6.712.0%
 
6.523.9%
 
6.423.9%
 

2002/11_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.388235294
Minimum3.2
Maximum7.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:42.766138image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile3.75
Q14.55
median5.5
Q36.1
95-th percentile7.05
Maximum7.5
Range4.3
Interquartile range (IQR)1.55

Descriptive statistics

Standard deviation1.012649408
Coefficient of variation (CV)0.1879371172
Kurtosis-0.4873926059
Mean5.388235294
Median Absolute Deviation (MAD)0.6
Skewness-0.02987416081
Sum274.8
Variance1.025458824
MonotocityNot monotonic
2020-11-24T21:53:42.888748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
6.147.8%
 
5.535.9%
 
6.535.9%
 
4.235.9%
 
5.835.9%
 
5.323.9%
 
4.423.9%
 
523.9%
 
3.723.9%
 
5.123.9%
 
Other values (21)2549.0%
 
ValueCountFrequency (%) 
3.212.0%
 
3.723.9%
 
3.812.0%
 
412.0%
 
4.112.0%
 
ValueCountFrequency (%) 
7.512.0%
 
7.412.0%
 
7.312.0%
 
6.812.0%
 
6.612.0%
 

2002/12_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.447058824
Minimum3.3
Maximum7.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:43.009001image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.75
Q14.6
median5.5
Q36.15
95-th percentile7.05
Maximum7.6
Range4.3
Interquartile range (IQR)1.55

Descriptive statistics

Standard deviation1.017713701
Coefficient of variation (CV)0.1868372885
Kurtosis-0.4306795308
Mean5.447058824
Median Absolute Deviation (MAD)0.7
Skewness-0.007986740771
Sum277.8
Variance1.035741176
MonotocityNot monotonic
2020-11-24T21:53:43.121869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
5.347.8%
 
5.947.8%
 
5.535.9%
 
6.535.9%
 
535.9%
 
5.623.9%
 
4.523.9%
 
6.223.9%
 
7.623.9%
 
6.123.9%
 
Other values (17)2447.1%
 
ValueCountFrequency (%) 
3.312.0%
 
3.723.9%
 
3.812.0%
 
4.112.0%
 
4.223.9%
 
ValueCountFrequency (%) 
7.623.9%
 
7.312.0%
 
6.812.0%
 
6.623.9%
 
6.535.9%
 

2003/01_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.505882353
Minimum3.3
Maximum7.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:43.239131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.8
Q14.65
median5.6
Q36.2
95-th percentile7.1
Maximum7.8
Range4.5
Interquartile range (IQR)1.55

Descriptive statistics

Standard deviation1.032746196
Coefficient of variation (CV)0.1875714245
Kurtosis-0.3610537132
Mean5.505882353
Median Absolute Deviation (MAD)0.7
Skewness0.03907990207
Sum280.8
Variance1.066564706
MonotocityNot monotonic
2020-11-24T21:53:43.369537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
4.447.8%
 
5.647.8%
 
6.647.8%
 
3.835.9%
 
5.335.9%
 
5.835.9%
 
6.323.9%
 
523.9%
 
4.523.9%
 
5.223.9%
 
Other values (17)2243.1%
 
ValueCountFrequency (%) 
3.312.0%
 
3.835.9%
 
4.223.9%
 
4.312.0%
 
4.447.8%
 
ValueCountFrequency (%) 
7.812.0%
 
7.712.0%
 
7.412.0%
 
6.812.0%
 
6.712.0%
 

2003/02_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.564705882
Minimum3.4
Maximum8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:43.490426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile3.9
Q14.75
median5.6
Q36.25
95-th percentile7.15
Maximum8
Range4.6
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.03205107
Coefficient of variation (CV)0.185463723
Kurtosis-0.3399900258
Mean5.564705882
Median Absolute Deviation (MAD)0.7
Skewness0.09455320131
Sum283.8
Variance1.065129412
MonotocityNot monotonic
2020-11-24T21:53:43.613113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
5.447.8%
 
5.335.9%
 
5.735.9%
 
5.935.9%
 
6.635.9%
 
4.535.9%
 
3.935.9%
 
4.435.9%
 
6.223.9%
 
5.823.9%
 
Other values (19)2243.1%
 
ValueCountFrequency (%) 
3.412.0%
 
3.935.9%
 
4.212.0%
 
4.312.0%
 
4.435.9%
 
ValueCountFrequency (%) 
812.0%
 
7.712.0%
 
7.412.0%
 
6.912.0%
 
6.812.0%
 

2003/03_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.625490196
Minimum3.5
Maximum8.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:43.734826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile3.95
Q14.85
median5.7
Q36.3
95-th percentile7.3
Maximum8.2
Range4.7
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.0550532
Coefficient of variation (CV)0.1875486692
Kurtosis-0.2856925487
Mean5.625490196
Median Absolute Deviation (MAD)0.7
Skewness0.1525757124
Sum286.9
Variance1.113137255
MonotocityNot monotonic
2020-11-24T21:53:43.853779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
6.847.8%
 
5.847.8%
 
5.435.9%
 
5.735.9%
 
4.535.9%
 
5.535.9%
 
5.935.9%
 
4.423.9%
 
6.723.9%
 
523.9%
 
Other values (19)2243.1%
 
ValueCountFrequency (%) 
3.512.0%
 
3.923.9%
 
412.0%
 
4.212.0%
 
4.312.0%
 
ValueCountFrequency (%) 
8.212.0%
 
7.812.0%
 
7.512.0%
 
7.112.0%
 
6.847.8%
 

2003/04_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.674509804
Minimum3.5
Maximum8.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:43.977707image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.05
Q14.9
median5.7
Q36.35
95-th percentile7.35
Maximum8.3
Range4.8
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.071231653
Coefficient of variation (CV)0.1887795933
Kurtosis-0.3135752164
Mean5.674509804
Median Absolute Deviation (MAD)0.7
Skewness0.1259108995
Sum289.4
Variance1.147537255
MonotocityNot monotonic
2020-11-24T21:53:44.117026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
5.847.8%
 
4.447.8%
 
5.735.9%
 
5.935.9%
 
5.435.9%
 
6.935.9%
 
6.835.9%
 
6.323.9%
 
5.223.9%
 
4.623.9%
 
Other values (21)2243.1%
 
ValueCountFrequency (%) 
3.512.0%
 
3.812.0%
 
412.0%
 
4.112.0%
 
4.212.0%
 
ValueCountFrequency (%) 
8.312.0%
 
7.812.0%
 
7.512.0%
 
7.212.0%
 
6.935.9%
 

2003/05_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.721568627
Minimum3.5
Maximum8.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:44.261349image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.1
Q14.95
median5.8
Q36.4
95-th percentile7.5
Maximum8.4
Range4.9
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.094223693
Coefficient of variation (CV)0.1912454021
Kurtosis-0.2922078966
Mean5.721568627
Median Absolute Deviation (MAD)0.7
Skewness0.1348114416
Sum291.8
Variance1.19732549
MonotocityNot monotonic
2020-11-24T21:53:44.377002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
5.859.8%
 
4.447.8%
 
6.947.8%
 
6.323.9%
 
5.523.9%
 
5.423.9%
 
6.423.9%
 
6.123.9%
 
623.9%
 
6.823.9%
 
Other values (21)2447.1%
 
ValueCountFrequency (%) 
3.512.0%
 
3.812.0%
 
412.0%
 
4.223.9%
 
4.447.8%
 
ValueCountFrequency (%) 
8.412.0%
 
7.912.0%
 
7.612.0%
 
7.412.0%
 
712.0%
 

2003/06_ur
Real number (ℝ≥0)

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.737254902
Minimum3.6
Maximum8.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:44.483472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.1
Q15
median5.8
Q36.4
95-th percentile7.55
Maximum8.5
Range4.9
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.099447276
Coefficient of variation (CV)0.1916329839
Kurtosis-0.2499698962
Mean5.737254902
Median Absolute Deviation (MAD)0.8
Skewness0.1584395412
Sum292.6
Variance1.208784314
MonotocityNot monotonic
2020-11-24T21:53:44.606640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
6.959.8%
 
5.947.8%
 
4.335.9%
 
5.835.9%
 
5.735.9%
 
623.9%
 
6.423.9%
 
6.123.9%
 
4.423.9%
 
523.9%
 
Other values (22)2345.1%
 
ValueCountFrequency (%) 
3.612.0%
 
3.812.0%
 
412.0%
 
4.212.0%
 
4.335.9%
 
ValueCountFrequency (%) 
8.512.0%
 
7.912.0%
 
7.612.0%
 
7.512.0%
 
712.0%
 

2003/07_ur
Real number (ℝ≥0)

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.735294118
Minimum3.6
Maximum8.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:44.733014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.1
Q15
median5.8
Q36.45
95-th percentile7.55
Maximum8.4
Range4.8
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.100149722
Coefficient of variation (CV)0.1918209772
Kurtosis-0.3162202708
Mean5.735294118
Median Absolute Deviation (MAD)0.7
Skewness0.1033377044
Sum292.5
Variance1.210329412
MonotocityNot monotonic
2020-11-24T21:53:44.847499image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
5.747.8%
 
6.947.8%
 
5.947.8%
 
5.523.9%
 
6.123.9%
 
623.9%
 
4.223.9%
 
6.523.9%
 
4.423.9%
 
5.323.9%
 
Other values (22)2549.0%
 
ValueCountFrequency (%) 
3.612.0%
 
3.712.0%
 
412.0%
 
4.223.9%
 
4.323.9%
 
ValueCountFrequency (%) 
8.412.0%
 
7.912.0%
 
7.612.0%
 
7.512.0%
 
7.112.0%
 

2003/08_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.688235294
Minimum3.6
Maximum8.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:44.956647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.05
Q14.95
median5.8
Q36.3
95-th percentile7.45
Maximum8.3
Range4.7
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation1.091906051
Coefficient of variation (CV)0.1919586645
Kurtosis-0.3253288292
Mean5.688235294
Median Absolute Deviation (MAD)0.7
Skewness0.1005142026
Sum290.1
Variance1.192258824
MonotocityNot monotonic
2020-11-24T21:53:45.071193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
4.347.8%
 
6.535.9%
 
5.935.9%
 
6.335.9%
 
5.635.9%
 
5.835.9%
 
623.9%
 
6.123.9%
 
5.123.9%
 
4.123.9%
 
Other values (20)2447.1%
 
ValueCountFrequency (%) 
3.612.0%
 
3.712.0%
 
412.0%
 
4.123.9%
 
4.347.8%
 
ValueCountFrequency (%) 
8.312.0%
 
7.912.0%
 
7.512.0%
 
7.412.0%
 
7.112.0%
 

2003/09_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.615686275
Minimum3.6
Maximum8.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:45.182743image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.05
Q14.9
median5.7
Q36.2
95-th percentile7.35
Maximum8.1
Range4.5
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation1.064776512
Coefficient of variation (CV)0.1896075492
Kurtosis-0.3414855847
Mean5.615686275
Median Absolute Deviation (MAD)0.7
Skewness0.09587731628
Sum286.4
Variance1.13374902
MonotocityNot monotonic
2020-11-24T21:53:45.297934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
647.8%
 
5.847.8%
 
5.535.9%
 
6.235.9%
 
5.735.9%
 
4.123.9%
 
523.9%
 
6.123.9%
 
5.623.9%
 
3.623.9%
 
Other values (20)2447.1%
 
ValueCountFrequency (%) 
3.623.9%
 
412.0%
 
4.123.9%
 
4.223.9%
 
4.323.9%
 
ValueCountFrequency (%) 
8.112.0%
 
7.812.0%
 
7.412.0%
 
7.312.0%
 
712.0%
 

2003/10_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.529411765
Minimum3.6
Maximum8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:45.420096image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile3.95
Q14.85
median5.6
Q36.05
95-th percentile7.25
Maximum8
Range4.4
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation1.046765326
Coefficient of variation (CV)0.1893086227
Kurtosis-0.2405418866
Mean5.529411765
Median Absolute Deviation (MAD)0.6
Skewness0.1671110229
Sum282
Variance1.095717647
MonotocityNot monotonic
2020-11-24T21:53:45.533036image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
5.7611.8%
 
635.9%
 
535.9%
 
5.435.9%
 
5.535.9%
 
4.123.9%
 
4.523.9%
 
6.123.9%
 
5.623.9%
 
5.923.9%
 
Other values (20)2345.1%
 
ValueCountFrequency (%) 
3.623.9%
 
3.912.0%
 
412.0%
 
4.123.9%
 
4.223.9%
 
ValueCountFrequency (%) 
812.0%
 
7.812.0%
 
7.312.0%
 
7.212.0%
 
712.0%
 

2003/11_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.462745098
Minimum3.6
Maximum7.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:45.645587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile3.95
Q14.85
median5.5
Q36
95-th percentile7.1
Maximum7.9
Range4.3
Interquartile range (IQR)1.15

Descriptive statistics

Standard deviation1.028389184
Coefficient of variation (CV)0.1882550193
Kurtosis-0.1965119323
Mean5.462745098
Median Absolute Deviation (MAD)0.6
Skewness0.1997339107
Sum278.6
Variance1.057584314
MonotocityNot monotonic
2020-11-24T21:53:45.759508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
5.347.8%
 
5.647.8%
 
635.9%
 
5.535.9%
 
4.935.9%
 
5.735.9%
 
5.935.9%
 
6.423.9%
 
423.9%
 
4.223.9%
 
Other values (18)2243.1%
 
ValueCountFrequency (%) 
3.623.9%
 
3.912.0%
 
423.9%
 
4.123.9%
 
4.223.9%
 
ValueCountFrequency (%) 
7.912.0%
 
7.812.0%
 
7.212.0%
 
712.0%
 
6.912.0%
 

2003/12_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.411764706
Minimum3.5
Maximum7.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:45.882205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile3.9
Q14.75
median5.4
Q35.95
95-th percentile6.95
Maximum7.8
Range4.3
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation1.027744532
Coefficient of variation (CV)0.1899093157
Kurtosis-0.2165615054
Mean5.411764706
Median Absolute Deviation (MAD)0.6
Skewness0.2009204271
Sum276
Variance1.056258824
MonotocityNot monotonic
2020-11-24T21:53:45.982488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
5.4611.8%
 
5.335.9%
 
5.835.9%
 
5.535.9%
 
6.935.9%
 
623.9%
 
4.123.9%
 
5.923.9%
 
3.923.9%
 
4.923.9%
 
Other values (19)2345.1%
 
ValueCountFrequency (%) 
3.512.0%
 
3.612.0%
 
3.923.9%
 
423.9%
 
4.123.9%
 
ValueCountFrequency (%) 
7.823.9%
 
712.0%
 
6.935.9%
 
6.612.0%
 
6.512.0%
 

2004/01_ur
Real number (ℝ≥0)

Distinct26
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.368627451
Minimum3.5
Maximum7.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:46.093892image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile3.9
Q14.7
median5.3
Q35.9
95-th percentile6.95
Maximum7.7
Range4.2
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation1.024985892
Coefficient of variation (CV)0.1909214042
Kurtosis-0.307463332
Mean5.368627451
Median Absolute Deviation (MAD)0.6
Skewness0.2000268187
Sum273.8
Variance1.050596078
MonotocityNot monotonic
2020-11-24T21:53:46.208994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
5.3611.8%
 
435.9%
 
5.235.9%
 
3.935.9%
 
5.935.9%
 
6.935.9%
 
5.535.9%
 
4.923.9%
 
5.723.9%
 
5.623.9%
 
Other values (16)2141.2%
 
ValueCountFrequency (%) 
3.512.0%
 
3.612.0%
 
3.935.9%
 
435.9%
 
4.112.0%
 
ValueCountFrequency (%) 
7.723.9%
 
712.0%
 
6.935.9%
 
6.512.0%
 
6.423.9%
 

2004/02_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.339215686
Minimum3.4
Maximum7.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:46.325349image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile3.8
Q14.6
median5.3
Q35.95
95-th percentile7
Maximum7.7
Range4.3
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation1.03326249
Coefficient of variation (CV)0.193523272
Kurtosis-0.2609659245
Mean5.339215686
Median Absolute Deviation (MAD)0.7
Skewness0.2039232728
Sum272.3
Variance1.067631373
MonotocityNot monotonic
2020-11-24T21:53:46.435328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
5.359.8%
 
5.747.8%
 
5.247.8%
 
3.935.9%
 
6.823.9%
 
6.123.9%
 
4.823.9%
 
4.423.9%
 
5.623.9%
 
7.723.9%
 
Other values (21)2345.1%
 
ValueCountFrequency (%) 
3.412.0%
 
3.612.0%
 
3.712.0%
 
3.935.9%
 
423.9%
 
ValueCountFrequency (%) 
7.723.9%
 
7.212.0%
 
6.823.9%
 
6.712.0%
 
6.512.0%
 

2004/03_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.31372549
Minimum3.4
Maximum7.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:46.548372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile3.7
Q14.55
median5.3
Q35.9
95-th percentile7.15
Maximum7.6
Range4.2
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation1.038656749
Coefficient of variation (CV)0.1954667683
Kurtosis-0.2935739793
Mean5.31372549
Median Absolute Deviation (MAD)0.7
Skewness0.2007449362
Sum271
Variance1.078807843
MonotocityNot monotonic
2020-11-24T21:53:46.670635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
5.647.8%
 
5.147.8%
 
5.347.8%
 
6.235.9%
 
5.235.9%
 
3.935.9%
 
5.735.9%
 
423.9%
 
7.623.9%
 
5.923.9%
 
Other values (18)2141.2%
 
ValueCountFrequency (%) 
3.412.0%
 
3.623.9%
 
3.812.0%
 
3.935.9%
 
423.9%
 
ValueCountFrequency (%) 
7.623.9%
 
7.412.0%
 
6.912.0%
 
6.812.0%
 
6.612.0%
 

2004/04_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.288235294
Minimum3.4
Maximum7.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:46.792338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile3.7
Q14.6
median5.3
Q35.95
95-th percentile7.2
Maximum7.6
Range4.2
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation1.061064948
Coefficient of variation (CV)0.2006463194
Kurtosis-0.301810623
Mean5.288235294
Median Absolute Deviation (MAD)0.7
Skewness0.2307602758
Sum269.7
Variance1.125858824
MonotocityNot monotonic
2020-11-24T21:53:46.888926image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
5.147.8%
 
5.647.8%
 
3.935.9%
 
5.335.9%
 
3.835.9%
 
5.223.9%
 
4.823.9%
 
6.923.9%
 
6.123.9%
 
4.623.9%
 
Other values (19)2447.1%
 
ValueCountFrequency (%) 
3.412.0%
 
3.512.0%
 
3.612.0%
 
3.835.9%
 
3.935.9%
 
ValueCountFrequency (%) 
7.623.9%
 
7.512.0%
 
6.923.9%
 
6.512.0%
 
6.412.0%
 

2004/05_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.256862745
Minimum3.4
Maximum7.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:46.992062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile3.7
Q14.6
median5.2
Q35.95
95-th percentile7.2
Maximum7.8
Range4.4
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation1.063626796
Coefficient of variation (CV)0.2023310951
Kurtosis-0.1887760972
Mean5.256862745
Median Absolute Deviation (MAD)0.7
Skewness0.2901193345
Sum268.1
Variance1.131301961
MonotocityNot monotonic
2020-11-24T21:53:47.095173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
5.547.8%
 
3.835.9%
 
6.335.9%
 
6.235.9%
 
5.135.9%
 
3.423.9%
 
523.9%
 
4.523.9%
 
623.9%
 
5.323.9%
 
Other values (17)2549.0%
 
ValueCountFrequency (%) 
3.423.9%
 
3.723.9%
 
3.835.9%
 
3.923.9%
 
4.212.0%
 
ValueCountFrequency (%) 
7.812.0%
 
7.512.0%
 
7.412.0%
 
712.0%
 
6.912.0%
 

2004/06_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.223529412
Minimum3.3
Maximum7.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:47.208266image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.65
Q14.6
median5.2
Q35.85
95-th percentile7.15
Maximum7.9
Range4.6
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.068005287
Coefficient of variation (CV)0.2044604717
Kurtosis-0.05128282535
Mean5.223529412
Median Absolute Deviation (MAD)0.7
Skewness0.3299220687
Sum266.4
Variance1.140635294
MonotocityNot monotonic
2020-11-24T21:53:47.366635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
6.259.8%
 
4.847.8%
 
5.435.9%
 
3.835.9%
 
5.535.9%
 
5.235.9%
 
535.9%
 
4.523.9%
 
5.823.9%
 
5.323.9%
 
Other values (19)2141.2%
 
ValueCountFrequency (%) 
3.312.0%
 
3.412.0%
 
3.612.0%
 
3.723.9%
 
3.835.9%
 
ValueCountFrequency (%) 
7.912.0%
 
7.512.0%
 
7.312.0%
 
712.0%
 
6.912.0%
 

2004/07_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.188235294
Minimum3.3
Maximum8.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:47.478278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.65
Q14.55
median5.1
Q35.75
95-th percentile7.15
Maximum8.1
Range4.8
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation1.067079577
Coefficient of variation (CV)0.2056729343
Kurtosis0.2045571902
Mean5.188235294
Median Absolute Deviation (MAD)0.6
Skewness0.4502258756
Sum264.6
Variance1.138658824
MonotocityNot monotonic
2020-11-24T21:53:47.580700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
5.459.8%
 
4.847.8%
 
535.9%
 
3.835.9%
 
5.735.9%
 
6.135.9%
 
5.335.9%
 
4.523.9%
 
4.223.9%
 
5.123.9%
 
Other values (18)2141.2%
 
ValueCountFrequency (%) 
3.312.0%
 
3.412.0%
 
3.612.0%
 
3.723.9%
 
3.835.9%
 
ValueCountFrequency (%) 
8.112.0%
 
7.412.0%
 
7.312.0%
 
712.0%
 
6.812.0%
 

2004/08_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.160784314
Minimum3.2
Maximum8.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:47.688847image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile3.6
Q14.6
median5.1
Q35.75
95-th percentile7.15
Maximum8.2
Range5
Interquartile range (IQR)1.15

Descriptive statistics

Standard deviation1.069967931
Coefficient of variation (CV)0.2073266127
Kurtosis0.4334775064
Mean5.160784314
Median Absolute Deviation (MAD)0.5
Skewness0.5279204067
Sum263.2
Variance1.144831373
MonotocityNot monotonic
2020-11-24T21:53:47.813315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
4.959.8%
 
4.747.8%
 
5.447.8%
 
635.9%
 
5.335.9%
 
4.635.9%
 
3.835.9%
 
5.623.9%
 
3.623.9%
 
4.223.9%
 
Other values (18)2039.2%
 
ValueCountFrequency (%) 
3.212.0%
 
3.412.0%
 
3.623.9%
 
3.712.0%
 
3.835.9%
 
ValueCountFrequency (%) 
8.212.0%
 
7.412.0%
 
7.212.0%
 
7.112.0%
 
6.812.0%
 

2004/09_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.12745098
Minimum3.2
Maximum8.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:47.940696image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile3.55
Q14.6
median5
Q35.6
95-th percentile7.1
Maximum8.2
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.066410508
Coefficient of variation (CV)0.2079806345
Kurtosis0.4593017256
Mean5.12745098
Median Absolute Deviation (MAD)0.6
Skewness0.5559959897
Sum261.5
Variance1.137231373
MonotocityNot monotonic
2020-11-24T21:53:48.070910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
5.347.8%
 
4.647.8%
 
635.9%
 
4.835.9%
 
4.935.9%
 
3.835.9%
 
5.635.9%
 
5.223.9%
 
4.723.9%
 
7.123.9%
 
Other values (19)2243.1%
 
ValueCountFrequency (%) 
3.212.0%
 
3.412.0%
 
3.512.0%
 
3.612.0%
 
3.712.0%
 
ValueCountFrequency (%) 
8.212.0%
 
7.312.0%
 
7.123.9%
 
6.812.0%
 
6.412.0%
 

2004/10_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.111764706
Minimum3.2
Maximum8.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:48.190777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile3.55
Q14.5
median5
Q35.55
95-th percentile7.1
Maximum8.2
Range5
Interquartile range (IQR)1.05

Descriptive statistics

Standard deviation1.063324421
Coefficient of variation (CV)0.2080151341
Kurtosis0.526743472
Mean5.111764706
Median Absolute Deviation (MAD)0.5
Skewness0.6042479544
Sum260.7
Variance1.130658824
MonotocityNot monotonic
2020-11-24T21:53:48.328669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
4.759.8%
 
5.359.8%
 
5.547.8%
 
4.835.9%
 
4.535.9%
 
4.123.9%
 
3.823.9%
 
5.923.9%
 
523.9%
 
5.223.9%
 
Other values (21)2141.2%
 
ValueCountFrequency (%) 
3.212.0%
 
3.412.0%
 
3.512.0%
 
3.612.0%
 
3.712.0%
 
ValueCountFrequency (%) 
8.212.0%
 
7.312.0%
 
7.212.0%
 
712.0%
 
6.812.0%
 

2004/11_ur
Real number (ℝ≥0)

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.092156863
Minimum3.2
Maximum8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:48.454300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile3.55
Q14.4
median5.1
Q35.65
95-th percentile7.05
Maximum8
Range4.8
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.057136346
Coefficient of variation (CV)0.2076008998
Kurtosis0.197227003
Mean5.092156863
Median Absolute Deviation (MAD)0.7
Skewness0.5009562102
Sum259.7
Variance1.117537255
MonotocityNot monotonic
2020-11-24T21:53:48.584879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
5.359.8%
 
4.435.9%
 
4.835.9%
 
4.635.9%
 
5.123.9%
 
623.9%
 
4.123.9%
 
5.423.9%
 
3.623.9%
 
5.523.9%
 
Other values (22)2549.0%
 
ValueCountFrequency (%) 
3.212.0%
 
3.412.0%
 
3.512.0%
 
3.623.9%
 
3.712.0%
 
ValueCountFrequency (%) 
812.0%
 
7.223.9%
 
6.912.0%
 
6.812.0%
 
6.412.0%
 

2004/12_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.070588235
Minimum3.1
Maximum7.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:48.708619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile3.55
Q14.35
median5.2
Q35.65
95-th percentile6.95
Maximum7.8
Range4.7
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation1.043703812
Coefficient of variation (CV)0.2058348585
Kurtosis0.01436822547
Mean5.070588235
Median Absolute Deviation (MAD)0.7
Skewness0.4087393507
Sum258.6
Variance1.089317647
MonotocityNot monotonic
2020-11-24T21:53:48.831668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
5.259.8%
 
4.335.9%
 
3.635.9%
 
4.835.9%
 
5.335.9%
 
4.535.9%
 
5.835.9%
 
3.923.9%
 
5.423.9%
 
4.723.9%
 
Other values (21)2243.1%
 
ValueCountFrequency (%) 
3.112.0%
 
3.412.0%
 
3.512.0%
 
3.635.9%
 
3.923.9%
 
ValueCountFrequency (%) 
7.812.0%
 
7.212.0%
 
7.112.0%
 
6.812.0%
 
6.712.0%
 

2005/01_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.058823529
Minimum3.1
Maximum7.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:48.951902image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile3.55
Q14.3
median5.1
Q35.7
95-th percentile6.95
Maximum7.6
Range4.5
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.03192567
Coefficient of variation (CV)0.2039853068
Kurtosis-0.198191885
Mean5.058823529
Median Absolute Deviation (MAD)0.7
Skewness0.3603364761
Sum258
Variance1.064870588
MonotocityNot monotonic
2020-11-24T21:53:49.070530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
5.447.8%
 
5.835.9%
 
4.935.9%
 
4.735.9%
 
5.235.9%
 
423.9%
 
5.723.9%
 
4.323.9%
 
4.223.9%
 
5.323.9%
 
Other values (21)2549.0%
 
ValueCountFrequency (%) 
3.112.0%
 
3.412.0%
 
3.512.0%
 
3.623.9%
 
3.712.0%
 
ValueCountFrequency (%) 
7.612.0%
 
7.123.9%
 
6.812.0%
 
6.712.0%
 
6.512.0%
 

2005/02_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.023529412
Minimum3
Maximum7.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:49.190894image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.5
Q14.25
median5
Q35.65
95-th percentile6.9
Maximum7.3
Range4.3
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.018742015
Coefficient of variation (CV)0.202794078
Kurtosis-0.4176549411
Mean5.023529412
Median Absolute Deviation (MAD)0.7
Skewness0.2650141128
Sum256.2
Variance1.037835294
MonotocityNot monotonic
2020-11-24T21:53:49.304076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
4.947.8%
 
5.247.8%
 
5.947.8%
 
5.635.9%
 
435.9%
 
4.335.9%
 
5.435.9%
 
523.9%
 
3.523.9%
 
4.223.9%
 
Other values (17)2141.2%
 
ValueCountFrequency (%) 
312.0%
 
3.412.0%
 
3.523.9%
 
3.612.0%
 
3.712.0%
 
ValueCountFrequency (%) 
7.312.0%
 
723.9%
 
6.812.0%
 
6.712.0%
 
6.412.0%
 

2005/03_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.984313725
Minimum3
Maximum7.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:49.409629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.45
Q14.15
median5
Q35.65
95-th percentile6.85
Maximum7.1
Range4.1
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.00287039
Coefficient of variation (CV)0.2012053104
Kurtosis-0.5040152312
Mean4.984313725
Median Absolute Deviation (MAD)0.7
Skewness0.2172090676
Sum254.2
Variance1.00574902
MonotocityNot monotonic
2020-11-24T21:53:49.517263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
547.8%
 
5.435.9%
 
435.9%
 
5.835.9%
 
4.135.9%
 
4.323.9%
 
4.623.9%
 
5.223.9%
 
5.523.9%
 
5.723.9%
 
Other values (21)2549.0%
 
ValueCountFrequency (%) 
312.0%
 
3.423.9%
 
3.512.0%
 
3.612.0%
 
3.712.0%
 
ValueCountFrequency (%) 
7.112.0%
 
6.923.9%
 
6.812.0%
 
6.712.0%
 
6.312.0%
 

2005/04_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.929411765
Minimum2.9
Maximum6.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:49.627680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile3.45
Q14.1
median5
Q35.55
95-th percentile6.75
Maximum6.8
Range3.9
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation0.9753551389
Coefficient of variation (CV)0.1978644077
Kurtosis-0.5313086104
Mean4.929411765
Median Absolute Deviation (MAD)0.7
Skewness0.1651336708
Sum251.4
Variance0.9513176471
MonotocityNot monotonic
2020-11-24T21:53:49.737047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
4.147.8%
 
547.8%
 
4.335.9%
 
5.335.9%
 
5.835.9%
 
6.835.9%
 
4.635.9%
 
5.135.9%
 
423.9%
 
5.723.9%
 
Other values (17)2141.2%
 
ValueCountFrequency (%) 
2.912.0%
 
3.423.9%
 
3.512.0%
 
3.623.9%
 
3.923.9%
 
ValueCountFrequency (%) 
6.835.9%
 
6.712.0%
 
6.612.0%
 
6.312.0%
 
612.0%
 

2005/05_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.888235294
Minimum2.8
Maximum6.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:49.855409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.5
Q14.1
median5
Q35.45
95-th percentile6.65
Maximum6.8
Range4
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation0.965742628
Coefficient of variation (CV)0.1975646772
Kurtosis-0.4601205794
Mean4.888235294
Median Absolute Deviation (MAD)0.7
Skewness0.166860742
Sum249.3
Variance0.9326588235
MonotocityNot monotonic
2020-11-24T21:53:49.970640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
559.8%
 
4.147.8%
 
5.735.9%
 
5.335.9%
 
4.635.9%
 
3.635.9%
 
6.823.9%
 
5.423.9%
 
3.423.9%
 
5.223.9%
 
Other values (18)2243.1%
 
ValueCountFrequency (%) 
2.812.0%
 
3.423.9%
 
3.635.9%
 
3.712.0%
 
3.812.0%
 
ValueCountFrequency (%) 
6.823.9%
 
6.712.0%
 
6.623.9%
 
6.212.0%
 
5.912.0%
 

2005/06_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.856862745
Minimum2.8
Maximum7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:50.096616image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.5
Q14.1
median5
Q35.3
95-th percentile6.6
Maximum7
Range4.2
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation0.9679369612
Coefficient of variation (CV)0.1992926323
Kurtosis-0.4089559676
Mean4.856862745
Median Absolute Deviation (MAD)0.8
Skewness0.2202780584
Sum247.7
Variance0.9369019608
MonotocityNot monotonic
2020-11-24T21:53:50.208862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
5.3611.8%
 
559.8%
 
3.647.8%
 
4.235.9%
 
4.135.9%
 
6.623.9%
 
3.423.9%
 
5.523.9%
 
4.923.9%
 
4.623.9%
 
Other values (17)2039.2%
 
ValueCountFrequency (%) 
2.812.0%
 
3.423.9%
 
3.647.8%
 
3.812.0%
 
3.923.9%
 
ValueCountFrequency (%) 
712.0%
 
6.812.0%
 
6.623.9%
 
6.312.0%
 
6.212.0%
 

2005/07_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.847058824
Minimum2.8
Maximum7.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:50.315617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.5
Q14.1
median4.9
Q35.3
95-th percentile6.6
Maximum7.4
Range4.6
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation0.9962636079
Coefficient of variation (CV)0.205539822
Kurtosis-0.09076847891
Mean4.847058824
Median Absolute Deviation (MAD)0.7
Skewness0.4007034133
Sum247.2
Variance0.9925411765
MonotocityNot monotonic
2020-11-24T21:53:50.429116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
4.959.8%
 
5.247.8%
 
535.9%
 
6.635.9%
 
3.635.9%
 
4.135.9%
 
4.335.9%
 
5.335.9%
 
3.523.9%
 
4.223.9%
 
Other values (19)2039.2%
 
ValueCountFrequency (%) 
2.812.0%
 
3.412.0%
 
3.523.9%
 
3.635.9%
 
3.712.0%
 
ValueCountFrequency (%) 
7.412.0%
 
6.812.0%
 
6.635.9%
 
6.212.0%
 
6.112.0%
 

2005/08_ur
Real number (ℝ≥0)

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.870588235
Minimum2.8
Maximum8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:50.534279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.5
Q14.1
median4.9
Q35.35
95-th percentile6.75
Maximum8
Range5.2
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.058545061
Coefficient of variation (CV)0.217334131
Kurtosis0.6580896194
Mean4.870588235
Median Absolute Deviation (MAD)0.6
Skewness0.6734577743
Sum248.4
Variance1.120517647
MonotocityNot monotonic
2020-11-24T21:53:50.651857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
4.947.8%
 
5.135.9%
 
5.335.9%
 
4.335.9%
 
3.635.9%
 
523.9%
 
3.523.9%
 
5.423.9%
 
5.223.9%
 
4.823.9%
 
Other values (22)2549.0%
 
ValueCountFrequency (%) 
2.812.0%
 
3.412.0%
 
3.523.9%
 
3.635.9%
 
3.712.0%
 
ValueCountFrequency (%) 
812.0%
 
7.312.0%
 
6.812.0%
 
6.712.0%
 
6.512.0%
 

2005/09_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.901960784
Minimum2.8
Maximum9.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:50.764372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.45
Q14.05
median4.9
Q35.35
95-th percentile6.85
Maximum9.3
Range6.5
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation1.180252549
Coefficient of variation (CV)0.2407715199
Kurtosis2.970606165
Mean4.901960784
Median Absolute Deviation (MAD)0.7
Skewness1.233331008
Sum250
Variance1.392996078
MonotocityNot monotonic
2020-11-24T21:53:50.874393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
4.959.8%
 
5.147.8%
 
4.835.9%
 
5.235.9%
 
3.623.9%
 
5.323.9%
 
3.423.9%
 
3.723.9%
 
3.523.9%
 
3.923.9%
 
Other values (19)2447.1%
 
ValueCountFrequency (%) 
2.812.0%
 
3.423.9%
 
3.523.9%
 
3.623.9%
 
3.723.9%
 
ValueCountFrequency (%) 
9.312.0%
 
7.712.0%
 
6.912.0%
 
6.812.0%
 
6.612.0%
 

2005/10_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.884313725
Minimum2.8
Maximum9.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:50.992512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.45
Q14
median4.8
Q35.3
95-th percentile6.85
Maximum9.5
Range6.7
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation1.236830231
Coefficient of variation (CV)0.253224977
Kurtosis3.583192814
Mean4.884313725
Median Absolute Deviation (MAD)0.6
Skewness1.453697212
Sum249.1
Variance1.52974902
MonotocityNot monotonic
2020-11-24T21:53:51.100702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
4.8611.8%
 
3.647.8%
 
4.335.9%
 
435.9%
 
5.135.9%
 
5.335.9%
 
4.723.9%
 
3.823.9%
 
523.9%
 
5.223.9%
 
Other values (20)2141.2%
 
ValueCountFrequency (%) 
2.812.0%
 
3.312.0%
 
3.412.0%
 
3.512.0%
 
3.647.8%
 
ValueCountFrequency (%) 
9.512.0%
 
8.412.0%
 
6.912.0%
 
6.812.0%
 
6.612.0%
 

2005/11_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.831372549
Minimum2.8
Maximum9.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:51.220123image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.35
Q13.95
median4.8
Q35.3
95-th percentile6.85
Maximum9.3
Range6.5
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation1.238788149
Coefficient of variation (CV)0.2564050146
Kurtosis3.162109875
Mean4.831372549
Median Absolute Deviation (MAD)0.6
Skewness1.393217322
Sum246.4
Variance1.534596078
MonotocityNot monotonic
2020-11-24T21:53:51.327113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
4.847.8%
 
535.9%
 
4.735.9%
 
5.335.9%
 
4.235.9%
 
3.635.9%
 
4.123.9%
 
3.523.9%
 
5.723.9%
 
3.723.9%
 
Other values (18)2447.1%
 
ValueCountFrequency (%) 
2.812.0%
 
3.323.9%
 
3.412.0%
 
3.523.9%
 
3.635.9%
 
ValueCountFrequency (%) 
9.312.0%
 
8.412.0%
 
6.912.0%
 
6.812.0%
 
6.712.0%
 

2005/12_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.733333333
Minimum2.7
Maximum8.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:51.442467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.3
Q13.9
median4.7
Q35.2
95-th percentile6.8
Maximum8.3
Range5.6
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation1.145891211
Coefficient of variation (CV)0.2420896924
Kurtosis1.327360105
Mean4.733333333
Median Absolute Deviation (MAD)0.6
Skewness0.9639250929
Sum241.4
Variance1.313066667
MonotocityNot monotonic
2020-11-24T21:53:51.551424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
3.335.9%
 
4.835.9%
 
5.335.9%
 
5.135.9%
 
4.635.9%
 
4.135.9%
 
4.935.9%
 
3.523.9%
 
5.223.9%
 
3.623.9%
 
Other values (18)2447.1%
 
ValueCountFrequency (%) 
2.712.0%
 
3.335.9%
 
3.423.9%
 
3.523.9%
 
3.623.9%
 
ValueCountFrequency (%) 
8.312.0%
 
7.712.0%
 
6.912.0%
 
6.723.9%
 
6.112.0%
 

2006/01_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.623529412
Minimum2.7
Maximum7.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:51.663140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.2
Q13.85
median4.6
Q35.1
95-th percentile6.7
Maximum7.9
Range5.2
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.074167256
Coefficient of variation (CV)0.2323262513
Kurtosis0.8014528238
Mean4.623529412
Median Absolute Deviation (MAD)0.6
Skewness0.7495580676
Sum235.8
Variance1.153835294
MonotocityNot monotonic
2020-11-24T21:53:51.776715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
5.147.8%
 
3.247.8%
 
4.947.8%
 
4.535.9%
 
4.735.9%
 
4.135.9%
 
3.435.9%
 
3.723.9%
 
5.523.9%
 
3.523.9%
 
Other values (17)2141.2%
 
ValueCountFrequency (%) 
2.712.0%
 
3.247.8%
 
3.435.9%
 
3.523.9%
 
3.723.9%
 
ValueCountFrequency (%) 
7.912.0%
 
6.912.0%
 
6.812.0%
 
6.612.0%
 
6.212.0%
 

2006/02_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.537254902
Minimum2.8
Maximum7.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:51.890153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.15
Q13.75
median4.6
Q35
95-th percentile6.65
Maximum7.3
Range4.5
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.028972455
Coefficient of variation (CV)0.226783039
Kurtosis0.2660559898
Mean4.537254902
Median Absolute Deviation (MAD)0.7
Skewness0.5956349593
Sum231.4
Variance1.058784314
MonotocityNot monotonic
2020-11-24T21:53:51.993281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
547.8%
 
4.947.8%
 
3.235.9%
 
3.335.9%
 
4.735.9%
 
3.735.9%
 
4.523.9%
 
4.223.9%
 
6.823.9%
 
5.323.9%
 
Other values (17)2345.1%
 
ValueCountFrequency (%) 
2.812.0%
 
3.123.9%
 
3.235.9%
 
3.335.9%
 
3.512.0%
 
ValueCountFrequency (%) 
7.312.0%
 
6.823.9%
 
6.512.0%
 
5.912.0%
 
5.812.0%
 

2006/03_ur
Real number (ℝ≥0)

Distinct26
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.488235294
Minimum2.8
Maximum6.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:52.098135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.1
Q13.7
median4.6
Q35
95-th percentile6.65
Maximum6.9
Range4.1
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation1.01600139
Coefficient of variation (CV)0.2263699033
Kurtosis0.1546862145
Mean4.488235294
Median Absolute Deviation (MAD)0.6
Skewness0.5527668129
Sum228.9
Variance1.032258824
MonotocityNot monotonic
2020-11-24T21:53:52.201695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
3.747.8%
 
4.747.8%
 
5.335.9%
 
5.135.9%
 
4.935.9%
 
4.835.9%
 
435.9%
 
3.235.9%
 
3.135.9%
 
523.9%
 
Other values (16)2039.2%
 
ValueCountFrequency (%) 
2.812.0%
 
312.0%
 
3.135.9%
 
3.235.9%
 
3.312.0%
 
ValueCountFrequency (%) 
6.923.9%
 
6.812.0%
 
6.512.0%
 
5.823.9%
 
5.335.9%
 

2006/04_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.458823529
Minimum2.8
Maximum6.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:52.310153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.05
Q13.6
median4.6
Q35
95-th percentile6.6
Maximum6.9
Range4.1
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.015317974
Coefficient of variation (CV)0.2277098358
Kurtosis-0.01361853574
Mean4.458823529
Median Absolute Deviation (MAD)0.7
Skewness0.4929854959
Sum227.4
Variance1.030870588
MonotocityNot monotonic
2020-11-24T21:53:52.416186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
4.647.8%
 
3.647.8%
 
3.147.8%
 
4.735.9%
 
4.935.9%
 
5.135.9%
 
3.923.9%
 
523.9%
 
323.9%
 
4.123.9%
 
Other values (17)2243.1%
 
ValueCountFrequency (%) 
2.812.0%
 
323.9%
 
3.147.8%
 
3.212.0%
 
3.312.0%
 
ValueCountFrequency (%) 
6.912.0%
 
6.723.9%
 
6.512.0%
 
5.812.0%
 
5.712.0%
 

2006/05_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.466666667
Minimum2.8
Maximum7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:52.526827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.05
Q13.6
median4.5
Q34.95
95-th percentile6.55
Maximum7
Range4.2
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation1.016398872
Coefficient of variation (CV)0.2275519862
Kurtosis-0.01579251145
Mean4.466666667
Median Absolute Deviation (MAD)0.7
Skewness0.4916625634
Sum227.8
Variance1.033066667
MonotocityNot monotonic
2020-11-24T21:53:52.637370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
4.959.8%
 
3.647.8%
 
4.535.9%
 
3.135.9%
 
4.735.9%
 
5.323.9%
 
3.923.9%
 
323.9%
 
4.323.9%
 
3.223.9%
 
Other values (20)2345.1%
 
ValueCountFrequency (%) 
2.812.0%
 
323.9%
 
3.135.9%
 
3.223.9%
 
3.312.0%
 
ValueCountFrequency (%) 
712.0%
 
6.712.0%
 
6.612.0%
 
6.512.0%
 
5.812.0%
 

2006/06_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.470588235
Minimum2.8
Maximum7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:52.750846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.1
Q13.6
median4.5
Q35.05
95-th percentile6.55
Maximum7
Range4.2
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.020449728
Coefficient of variation (CV)0.2282584918
Kurtosis-0.121647643
Mean4.470588235
Median Absolute Deviation (MAD)0.7
Skewness0.4609147938
Sum228
Variance1.041317647
MonotocityNot monotonic
2020-11-24T21:53:52.854462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
4.947.8%
 
3.147.8%
 
3.635.9%
 
4.835.9%
 
4.635.9%
 
4.135.9%
 
3.423.9%
 
423.9%
 
5.223.9%
 
4.323.9%
 
Other values (18)2345.1%
 
ValueCountFrequency (%) 
2.812.0%
 
2.912.0%
 
3.147.8%
 
3.223.9%
 
3.423.9%
 
ValueCountFrequency (%) 
712.0%
 
6.623.9%
 
6.512.0%
 
5.912.0%
 
5.712.0%
 

2006/07_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.47254902
Minimum2.7
Maximum7.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:52.965654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.1
Q13.7
median4.4
Q35
95-th percentile6.4
Maximum7.1
Range4.4
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation1.011746694
Coefficient of variation (CV)0.2262125444
Kurtosis-0.05072443955
Mean4.47254902
Median Absolute Deviation (MAD)0.7
Skewness0.4475793823
Sum228.1
Variance1.023631373
MonotocityNot monotonic
2020-11-24T21:53:53.074635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
4.959.8%
 
4.635.9%
 
3.235.9%
 
4.835.9%
 
5.235.9%
 
4.135.9%
 
3.135.9%
 
4.423.9%
 
3.423.9%
 
3.723.9%
 
Other values (19)2243.1%
 
ValueCountFrequency (%) 
2.712.0%
 
2.912.0%
 
3.135.9%
 
3.235.9%
 
3.423.9%
 
ValueCountFrequency (%) 
7.112.0%
 
6.612.0%
 
6.512.0%
 
6.312.0%
 
5.912.0%
 

2006/08_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.452941176
Minimum2.6
Maximum7.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:53.187195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile3.15
Q13.75
median4.4
Q35
95-th percentile6.35
Maximum7.1
Range4.5
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.003663876
Coefficient of variation (CV)0.2253934729
Kurtosis-0.009352754147
Mean4.452941176
Median Absolute Deviation (MAD)0.7
Skewness0.4271836103
Sum227.1
Variance1.007341176
MonotocityNot monotonic
2020-11-24T21:53:53.292178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
3.259.8%
 
4.959.8%
 
447.8%
 
4.735.9%
 
5.323.9%
 
4.423.9%
 
3.523.9%
 
4.823.9%
 
4.123.9%
 
5.123.9%
 
Other values (19)2243.1%
 
ValueCountFrequency (%) 
2.612.0%
 
2.812.0%
 
3.112.0%
 
3.259.8%
 
3.312.0%
 
ValueCountFrequency (%) 
7.112.0%
 
6.523.9%
 
6.212.0%
 
5.812.0%
 
5.712.0%
 

2006/09_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.447058824
Minimum2.5
Maximum7.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:53.395684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile3.15
Q13.75
median4.4
Q35.05
95-th percentile6.3
Maximum7.2
Range4.7
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation1.007641393
Coefficient of variation (CV)0.2265860275
Kurtosis0.1506052566
Mean4.447058824
Median Absolute Deviation (MAD)0.7
Skewness0.450662489
Sum226.8
Variance1.015341176
MonotocityNot monotonic
2020-11-24T21:53:53.507232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
447.8%
 
4.147.8%
 
4.947.8%
 
3.235.9%
 
4.735.9%
 
4.435.9%
 
5.235.9%
 
3.335.9%
 
4.623.9%
 
5.123.9%
 
Other values (19)2039.2%
 
ValueCountFrequency (%) 
2.512.0%
 
2.712.0%
 
3.112.0%
 
3.235.9%
 
3.335.9%
 
ValueCountFrequency (%) 
7.212.0%
 
6.523.9%
 
6.112.0%
 
5.812.0%
 
5.712.0%
 

2006/10_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.407843137
Minimum2.4
Maximum7.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:53.607898image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile3.1
Q13.8
median4.3
Q35
95-th percentile6.2
Maximum7.2
Range4.8
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation1.007937128
Coefficient of variation (CV)0.2286690105
Kurtosis0.261620525
Mean4.407843137
Median Absolute Deviation (MAD)0.7
Skewness0.4376863707
Sum224.8
Variance1.015937255
MonotocityNot monotonic
2020-11-24T21:53:53.719440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
3.947.8%
 
4.935.9%
 
4.335.9%
 
3.335.9%
 
4.135.9%
 
3.235.9%
 
535.9%
 
3.123.9%
 
4.523.9%
 
4.823.9%
 
Other values (20)2345.1%
 
ValueCountFrequency (%) 
2.412.0%
 
2.612.0%
 
3.123.9%
 
3.235.9%
 
3.335.9%
 
ValueCountFrequency (%) 
7.212.0%
 
6.512.0%
 
6.412.0%
 
612.0%
 
5.812.0%
 

2006/11_ur
Real number (ℝ≥0)

Distinct26
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.37254902
Minimum2.4
Maximum7.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:53.822173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile3.1
Q13.75
median4.3
Q34.9
95-th percentile6.2
Maximum7.1
Range4.7
Interquartile range (IQR)1.15

Descriptive statistics

Standard deviation0.9994155155
Coefficient of variation (CV)0.2285658802
Kurtosis0.2254876738
Mean4.37254902
Median Absolute Deviation (MAD)0.6
Skewness0.4017908005
Sum223
Variance0.9988313725
MonotocityNot monotonic
2020-11-24T21:53:53.933243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
4.959.8%
 
3.147.8%
 
4.347.8%
 
4.835.9%
 
3.935.9%
 
4.535.9%
 
3.235.9%
 
435.9%
 
4.123.9%
 
5.723.9%
 
Other values (16)1937.3%
 
ValueCountFrequency (%) 
2.412.0%
 
2.512.0%
 
3.147.8%
 
3.235.9%
 
3.423.9%
 
ValueCountFrequency (%) 
7.112.0%
 
6.412.0%
 
6.312.0%
 
6.112.0%
 
5.723.9%
 

2006/12_ur
Real number (ℝ≥0)

Distinct25
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.331372549
Minimum2.4
Maximum7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:54.034049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile3
Q13.75
median4.3
Q34.85
95-th percentile6.15
Maximum7
Range4.6
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.9990976321
Coefficient of variation (CV)0.2306653655
Kurtosis0.1986967523
Mean4.331372549
Median Absolute Deviation (MAD)0.6
Skewness0.3508512308
Sum220.9
Variance0.9981960784
MonotocityNot monotonic
2020-11-24T21:53:54.140253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
4.859.8%
 
4.359.8%
 
347.8%
 
4.947.8%
 
3.947.8%
 
4.435.9%
 
2.423.9%
 
3.123.9%
 
4.223.9%
 
3.823.9%
 
Other values (15)1835.3%
 
ValueCountFrequency (%) 
2.423.9%
 
347.8%
 
3.123.9%
 
3.212.0%
 
3.423.9%
 
ValueCountFrequency (%) 
712.0%
 
6.412.0%
 
6.212.0%
 
6.112.0%
 
5.712.0%
 

2007/01_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.309803922
Minimum2.4
Maximum7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:54.240435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile2.9
Q13.7
median4.3
Q34.8
95-th percentile6.15
Maximum7
Range4.6
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.9956414821
Coefficient of variation (CV)0.2310178143
Kurtosis0.1992580296
Mean4.309803922
Median Absolute Deviation (MAD)0.6
Skewness0.3691151354
Sum219.8
Variance0.9913019608
MonotocityNot monotonic
2020-11-24T21:53:54.360894image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
4.359.8%
 
4.847.8%
 
4.435.9%
 
335.9%
 
3.735.9%
 
3.923.9%
 
2.923.9%
 
6.323.9%
 
4.223.9%
 
4.523.9%
 
Other values (19)2345.1%
 
ValueCountFrequency (%) 
2.412.0%
 
2.512.0%
 
2.923.9%
 
335.9%
 
3.112.0%
 
ValueCountFrequency (%) 
712.0%
 
6.323.9%
 
612.0%
 
5.623.9%
 
5.512.0%
 

2007/02_ur
Real number (ℝ≥0)

Distinct26
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.27254902
Minimum2.3
Maximum6.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:54.467299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile2.85
Q13.6
median4.3
Q34.7
95-th percentile6.05
Maximum6.9
Range4.6
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.9941988597
Coefficient of variation (CV)0.2326945472
Kurtosis0.2323725269
Mean4.27254902
Median Absolute Deviation (MAD)0.6
Skewness0.3262807865
Sum217.9
Variance0.9884313725
MonotocityNot monotonic
2020-11-24T21:53:54.577132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
4.3611.8%
 
3.647.8%
 
4.747.8%
 
2.935.9%
 
4.635.9%
 
5.535.9%
 
323.9%
 
4.523.9%
 
4.423.9%
 
3.823.9%
 
Other values (16)2039.2%
 
ValueCountFrequency (%) 
2.312.0%
 
2.512.0%
 
2.812.0%
 
2.935.9%
 
323.9%
 
ValueCountFrequency (%) 
6.912.0%
 
6.412.0%
 
6.312.0%
 
5.812.0%
 
5.535.9%
 

2007/03_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.274509804
Minimum2.3
Maximum6.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:54.678120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile2.8
Q13.65
median4.3
Q34.75
95-th percentile6
Maximum6.9
Range4.6
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation1.000168613
Coefficient of variation (CV)0.2339844003
Kurtosis0.2130871052
Mean4.274509804
Median Absolute Deviation (MAD)0.6
Skewness0.3166364764
Sum218
Variance1.000337255
MonotocityNot monotonic
2020-11-24T21:53:54.792531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
4.3713.7%
 
2.947.8%
 
4.635.9%
 
4.535.9%
 
4.735.9%
 
3.735.9%
 
4.923.9%
 
3.823.9%
 
5.523.9%
 
3.623.9%
 
Other values (19)2039.2%
 
ValueCountFrequency (%) 
2.312.0%
 
2.612.0%
 
2.712.0%
 
2.947.8%
 
312.0%
 
ValueCountFrequency (%) 
6.912.0%
 
6.512.0%
 
6.312.0%
 
5.712.0%
 
5.523.9%
 

2007/04_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.274509804
Minimum2.4
Maximum6.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:54.910653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile2.8
Q13.65
median4.3
Q34.8
95-th percentile6
Maximum6.9
Range4.5
Interquartile range (IQR)1.15

Descriptive statistics

Standard deviation0.9969640189
Coefficient of variation (CV)0.2332347017
Kurtosis0.1814550738
Mean4.274509804
Median Absolute Deviation (MAD)0.6
Skewness0.3571243722
Sum218
Variance0.9939372549
MonotocityNot monotonic
2020-11-24T21:53:55.023225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
4.247.8%
 
4.347.8%
 
4.547.8%
 
2.935.9%
 
3.735.9%
 
4.635.9%
 
4.923.9%
 
5.523.9%
 
4.823.9%
 
3.123.9%
 
Other values (18)2243.1%
 
ValueCountFrequency (%) 
2.412.0%
 
2.612.0%
 
2.823.9%
 
2.935.9%
 
3.123.9%
 
ValueCountFrequency (%) 
6.912.0%
 
6.512.0%
 
6.312.0%
 
5.712.0%
 
5.523.9%
 

2007/05_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.296078431
Minimum2.5
Maximum6.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:55.138447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile2.8
Q13.65
median4.3
Q34.85
95-th percentile5.95
Maximum6.9
Range4.4
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation0.9779490343
Coefficient of variation (CV)0.2276376118
Kurtosis0.1370493348
Mean4.296078431
Median Absolute Deviation (MAD)0.6
Skewness0.3392454001
Sum219.1
Variance0.9563843137
MonotocityNot monotonic
2020-11-24T21:53:55.250341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
4.559.8%
 
4.247.8%
 
4.347.8%
 
4.635.9%
 
3.735.9%
 
3.935.9%
 
2.823.9%
 
4.923.9%
 
5.523.9%
 
523.9%
 
Other values (17)2141.2%
 
ValueCountFrequency (%) 
2.512.0%
 
2.712.0%
 
2.823.9%
 
2.923.9%
 
312.0%
 
ValueCountFrequency (%) 
6.912.0%
 
6.412.0%
 
6.312.0%
 
5.612.0%
 
5.523.9%
 

2007/06_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.333333333
Minimum2.5
Maximum7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:55.364501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile2.85
Q13.65
median4.4
Q34.95
95-th percentile5.95
Maximum7
Range4.5
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation0.9817671143
Coefficient of variation (CV)0.2265616418
Kurtosis0.1083831156
Mean4.333333333
Median Absolute Deviation (MAD)0.7
Skewness0.3127154047
Sum221
Variance0.9638666667
MonotocityNot monotonic
2020-11-24T21:53:55.473040image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
4.459.8%
 
4.647.8%
 
3.735.9%
 
4.535.9%
 
3.535.9%
 
4.235.9%
 
423.9%
 
5.323.9%
 
6.323.9%
 
4.723.9%
 
Other values (17)2243.1%
 
ValueCountFrequency (%) 
2.512.0%
 
2.712.0%
 
2.812.0%
 
2.923.9%
 
323.9%
 
ValueCountFrequency (%) 
712.0%
 
6.323.9%
 
5.623.9%
 
5.512.0%
 
5.412.0%
 

2007/07_ur
Real number (ℝ≥0)

Distinct25
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.38627451
Minimum2.6
Maximum7.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:55.584230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile2.85
Q13.7
median4.5
Q35
95-th percentile5.95
Maximum7.1
Range4.5
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation0.983873896
Coefficient of variation (CV)0.2243074148
Kurtosis0.08402188898
Mean4.38627451
Median Absolute Deviation (MAD)0.7
Skewness0.3244436905
Sum223.7
Variance0.9680078431
MonotocityNot monotonic
2020-11-24T21:53:55.691132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
4.659.8%
 
4.259.8%
 
3.759.8%
 
4.735.9%
 
5.435.9%
 
3.135.9%
 
4.535.9%
 
5.235.9%
 
423.9%
 
523.9%
 
Other values (15)1733.3%
 
ValueCountFrequency (%) 
2.612.0%
 
2.823.9%
 
2.912.0%
 
312.0%
 
3.135.9%
 
ValueCountFrequency (%) 
7.112.0%
 
6.412.0%
 
6.212.0%
 
5.712.0%
 
5.612.0%
 

2007/08_ur
Real number (ℝ≥0)

Distinct26
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.439215686
Minimum2.7
Maximum7.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:55.814163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile2.9
Q13.75
median4.5
Q35.15
95-th percentile5.9
Maximum7.2
Range4.5
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation0.9857136362
Coefficient of variation (CV)0.2220467997
Kurtosis0.04655757038
Mean4.439215686
Median Absolute Deviation (MAD)0.7
Skewness0.2971000323
Sum226.4
Variance0.9716313725
MonotocityNot monotonic
2020-11-24T21:53:55.923558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
4.759.8%
 
4.347.8%
 
5.335.9%
 
4.835.9%
 
3.135.9%
 
4.135.9%
 
4.635.9%
 
4.523.9%
 
3.523.9%
 
3.723.9%
 
Other values (16)2141.2%
 
ValueCountFrequency (%) 
2.712.0%
 
2.812.0%
 
2.923.9%
 
3.135.9%
 
3.212.0%
 
ValueCountFrequency (%) 
7.212.0%
 
6.412.0%
 
6.112.0%
 
5.723.9%
 
5.523.9%
 

2007/09_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.496078431
Minimum2.8
Maximum7.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:56.037912image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile2.9
Q13.85
median4.6
Q35.2
95-th percentile5.85
Maximum7.3
Range4.5
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation0.9971882038
Coefficient of variation (CV)0.2217906602
Kurtosis-0.028711993
Mean4.496078431
Median Absolute Deviation (MAD)0.7
Skewness0.2428656401
Sum229.3
Variance0.9943843137
MonotocityNot monotonic
2020-11-24T21:53:56.154625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
4.847.8%
 
4.635.9%
 
4.735.9%
 
5.435.9%
 
3.935.9%
 
423.9%
 
5.523.9%
 
3.523.9%
 
4.323.9%
 
5.623.9%
 
Other values (20)2549.0%
 
ValueCountFrequency (%) 
2.823.9%
 
2.923.9%
 
3.123.9%
 
3.212.0%
 
3.312.0%
 
ValueCountFrequency (%) 
7.312.0%
 
6.412.0%
 
612.0%
 
5.723.9%
 
5.623.9%
 

2007/10_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.539215686
Minimum2.8
Maximum7.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:56.262480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile2.95
Q13.85
median4.7
Q35.35
95-th percentile5.85
Maximum7.4
Range4.6
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.000615497
Coefficient of variation (CV)0.2204379712
Kurtosis0.01629785862
Mean4.539215686
Median Absolute Deviation (MAD)0.7
Skewness0.2440021242
Sum231.5
Variance1.001231373
MonotocityNot monotonic
2020-11-24T21:53:56.377296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
4.847.8%
 
5.447.8%
 
4.747.8%
 
3.535.9%
 
5.735.9%
 
4.335.9%
 
4.623.9%
 
3.923.9%
 
4.123.9%
 
523.9%
 
Other values (18)2243.1%
 
ValueCountFrequency (%) 
2.812.0%
 
2.923.9%
 
312.0%
 
3.123.9%
 
3.323.9%
 
ValueCountFrequency (%) 
7.412.0%
 
6.412.0%
 
5.912.0%
 
5.812.0%
 
5.735.9%
 

2007/11_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.568627451
Minimum2.7
Maximum7.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:56.485003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3
Q13.85
median4.7
Q35.35
95-th percentile5.9
Maximum7.4
Range4.7
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.007271601
Coefficient of variation (CV)0.2204757582
Kurtosis-0.01621657529
Mean4.568627451
Median Absolute Deviation (MAD)0.7
Skewness0.19326162
Sum233
Variance1.014596078
MonotocityNot monotonic
2020-11-24T21:53:56.605352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
4.747.8%
 
4.847.8%
 
5.535.9%
 
5.935.9%
 
4.235.9%
 
3.135.9%
 
4.935.9%
 
2.923.9%
 
5.723.9%
 
3.523.9%
 
Other values (19)2243.1%
 
ValueCountFrequency (%) 
2.712.0%
 
2.923.9%
 
3.135.9%
 
3.212.0%
 
3.412.0%
 
ValueCountFrequency (%) 
7.412.0%
 
6.412.0%
 
5.935.9%
 
5.723.9%
 
5.612.0%
 

2007/12_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.592156863
Minimum2.7
Maximum7.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:56.722713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3
Q13.85
median4.7
Q35.25
95-th percentile6.05
Maximum7.3
Range4.6
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.012293068
Coefficient of variation (CV)0.2204395664
Kurtosis-0.1842307014
Mean4.592156863
Median Absolute Deviation (MAD)0.7
Skewness0.1100802151
Sum234.2
Variance1.024737255
MonotocityNot monotonic
2020-11-24T21:53:56.841574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
4.847.8%
 
4.947.8%
 
5.735.9%
 
5.535.9%
 
3.723.9%
 
5.123.9%
 
4.223.9%
 
3.523.9%
 
4.723.9%
 
4.623.9%
 
Other values (20)2549.0%
 
ValueCountFrequency (%) 
2.712.0%
 
2.812.0%
 
323.9%
 
3.112.0%
 
3.223.9%
 
ValueCountFrequency (%) 
7.312.0%
 
6.412.0%
 
6.112.0%
 
612.0%
 
5.912.0%
 

2008/01_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.615686275
Minimum2.6
Maximum7.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:56.951149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile3
Q13.9
median4.7
Q35.3
95-th percentile6.2
Maximum7.3
Range4.7
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.036604563
Coefficient of variation (CV)0.2245829766
Kurtosis-0.193179942
Mean4.615686275
Median Absolute Deviation (MAD)0.7
Skewness0.06356662538
Sum235.4
Variance1.07454902
MonotocityNot monotonic
2020-11-24T21:53:57.062606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
4.359.8%
 
4.647.8%
 
4.847.8%
 
3.535.9%
 
335.9%
 
5.323.9%
 
5.623.9%
 
4.723.9%
 
5.123.9%
 
5.523.9%
 
Other values (20)2243.1%
 
ValueCountFrequency (%) 
2.612.0%
 
2.812.0%
 
335.9%
 
3.112.0%
 
3.212.0%
 
ValueCountFrequency (%) 
7.312.0%
 
6.512.0%
 
6.312.0%
 
6.112.0%
 
612.0%
 

2008/02_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.660784314
Minimum2.6
Maximum7.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:57.169196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile3
Q13.95
median4.8
Q35.4
95-th percentile6.35
Maximum7.3
Range4.7
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.050919299
Coefficient of variation (CV)0.2254812126
Kurtosis-0.2638340876
Mean4.660784314
Median Absolute Deviation (MAD)0.7
Skewness0.04992559342
Sum237.7
Variance1.104431373
MonotocityNot monotonic
2020-11-24T21:53:57.285127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
4.8713.7%
 
4.347.8%
 
6.523.9%
 
5.423.9%
 
5.623.9%
 
4.423.9%
 
4.523.9%
 
3.123.9%
 
3.523.9%
 
5.723.9%
 
Other values (21)2447.1%
 
ValueCountFrequency (%) 
2.612.0%
 
2.812.0%
 
323.9%
 
3.123.9%
 
3.312.0%
 
ValueCountFrequency (%) 
7.312.0%
 
6.523.9%
 
6.212.0%
 
6.112.0%
 
5.812.0%
 

2008/03_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.737254902
Minimum2.6
Maximum7.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:57.406311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile3
Q14
median4.9
Q35.5
95-th percentile6.5
Maximum7.4
Range4.8
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.093610677
Coefficient of variation (CV)0.2308532473
Kurtosis-0.3412534044
Mean4.737254902
Median Absolute Deviation (MAD)0.7
Skewness0.03101773938
Sum241.6
Variance1.195984314
MonotocityNot monotonic
2020-11-24T21:53:57.539973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
4.959.8%
 
547.8%
 
3.635.9%
 
4.335.9%
 
4.435.9%
 
5.623.9%
 
423.9%
 
323.9%
 
4.523.9%
 
5.523.9%
 
Other values (19)2345.1%
 
ValueCountFrequency (%) 
2.612.0%
 
2.812.0%
 
323.9%
 
3.123.9%
 
3.312.0%
 
ValueCountFrequency (%) 
7.412.0%
 
6.712.0%
 
6.612.0%
 
6.412.0%
 
6.312.0%
 

2008/04_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.884313725
Minimum2.7
Maximum7.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:57.653812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.05
Q14.25
median5
Q35.75
95-th percentile6.6
Maximum7.6
Range4.9
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.111282601
Coefficient of variation (CV)0.2275207252
Kurtosis-0.2921568194
Mean4.884313725
Median Absolute Deviation (MAD)0.8
Skewness0.04295537814
Sum249.1
Variance1.23494902
MonotocityNot monotonic
2020-11-24T21:53:57.775827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
5611.8%
 
4.447.8%
 
635.9%
 
5.835.9%
 
3.723.9%
 
4.623.9%
 
4.323.9%
 
5.423.9%
 
3.623.9%
 
5.723.9%
 
Other values (20)2345.1%
 
ValueCountFrequency (%) 
2.712.0%
 
2.812.0%
 
312.0%
 
3.112.0%
 
3.212.0%
 
ValueCountFrequency (%) 
7.612.0%
 
712.0%
 
6.623.9%
 
6.412.0%
 
635.9%
 

2008/05_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.037254902
Minimum2.8
Maximum7.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:57.893838image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.15
Q14.3
median5.1
Q35.9
95-th percentile6.8
Maximum7.8
Range5
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.155501758
Coefficient of variation (CV)0.2293911626
Kurtosis-0.3786451933
Mean5.037254902
Median Absolute Deviation (MAD)0.8
Skewness0.01304776641
Sum256.9
Variance1.335184314
MonotocityNot monotonic
2020-11-24T21:53:58.014853image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
5.259.8%
 
5.147.8%
 
4.535.9%
 
4.435.9%
 
5.635.9%
 
5.923.9%
 
623.9%
 
6.123.9%
 
3.823.9%
 
6.223.9%
 
Other values (21)2345.1%
 
ValueCountFrequency (%) 
2.823.9%
 
3.112.0%
 
3.212.0%
 
3.312.0%
 
3.512.0%
 
ValueCountFrequency (%) 
7.812.0%
 
7.212.0%
 
6.912.0%
 
6.712.0%
 
6.612.0%
 

2008/06_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.21372549
Minimum2.9
Maximum8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:58.124401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile3.2
Q14.35
median5.3
Q36.15
95-th percentile7
Maximum8
Range5.1
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation1.211448655
Coefficient of variation (CV)0.2323575833
Kurtosis-0.4819781536
Mean5.21372549
Median Absolute Deviation (MAD)0.9
Skewness-0.02342427343
Sum265.9
Variance1.467607843
MonotocityNot monotonic
2020-11-24T21:53:58.240824image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
5.535.9%
 
5.235.9%
 
5.335.9%
 
6.335.9%
 
4.135.9%
 
6.223.9%
 
4.523.9%
 
623.9%
 
4.723.9%
 
4.223.9%
 
Other values (21)2651.0%
 
ValueCountFrequency (%) 
2.923.9%
 
3.112.0%
 
3.323.9%
 
3.612.0%
 
3.712.0%
 
ValueCountFrequency (%) 
812.0%
 
7.512.0%
 
7.212.0%
 
6.812.0%
 
6.712.0%
 

2008/07_ur
Real number (ℝ≥0)

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.384313725
Minimum2.9
Maximum8.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:58.349037image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile3.25
Q14.45
median5.4
Q36.35
95-th percentile7.25
Maximum8.2
Range5.3
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation1.267181526
Coefficient of variation (CV)0.2353468967
Kurtosis-0.5561247094
Mean5.384313725
Median Absolute Deviation (MAD)1
Skewness-0.043801669
Sum274.6
Variance1.60574902
MonotocityNot monotonic
2020-11-24T21:53:58.468422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
5.335.9%
 
6.635.9%
 
4.835.9%
 
4.335.9%
 
6.335.9%
 
5.623.9%
 
4.623.9%
 
5.423.9%
 
3.723.9%
 
5.523.9%
 
Other values (22)2651.0%
 
ValueCountFrequency (%) 
2.912.0%
 
3.112.0%
 
3.212.0%
 
3.312.0%
 
3.412.0%
 
ValueCountFrequency (%) 
8.212.0%
 
7.812.0%
 
7.512.0%
 
712.0%
 
6.912.0%
 

2008/08_ur
Real number (ℝ≥0)

Distinct33
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.58627451
Minimum3.1
Maximum8.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:58.584414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile3.3
Q14.65
median5.6
Q36.6
95-th percentile7.55
Maximum8.4
Range5.3
Interquartile range (IQR)1.95

Descriptive statistics

Standard deviation1.316817316
Coefficient of variation (CV)0.2357237034
Kurtosis-0.5705498649
Mean5.58627451
Median Absolute Deviation (MAD)1
Skewness-0.0581527196
Sum284.9
Variance1.734007843
MonotocityNot monotonic
2020-11-24T21:53:58.705390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
5.647.8%
 
6.835.9%
 
5.535.9%
 
535.9%
 
6.635.9%
 
3.823.9%
 
4.623.9%
 
723.9%
 
5.323.9%
 
4.723.9%
 
Other values (23)2549.0%
 
ValueCountFrequency (%) 
3.112.0%
 
3.223.9%
 
3.412.0%
 
3.612.0%
 
3.823.9%
 
ValueCountFrequency (%) 
8.412.0%
 
8.212.0%
 
7.812.0%
 
7.312.0%
 
7.112.0%
 

2008/09_ur
Real number (ℝ≥0)

Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.811764706
Minimum3.2
Maximum8.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:58.820953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile3.45
Q14.85
median5.8
Q36.85
95-th percentile7.9
Maximum8.7
Range5.5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.372537367
Coefficient of variation (CV)0.2361653364
Kurtosis-0.5937640818
Mean5.811764706
Median Absolute Deviation (MAD)1
Skewness-0.0706247475
Sum296.4
Variance1.883858824
MonotocityNot monotonic
2020-11-24T21:53:58.926483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
5.8611.8%
 
6.835.9%
 
4.823.9%
 
623.9%
 
4.923.9%
 
7.323.9%
 
6.423.9%
 
4.323.9%
 
7.123.9%
 
6.623.9%
 
Other values (24)2651.0%
 
ValueCountFrequency (%) 
3.212.0%
 
3.312.0%
 
3.412.0%
 
3.512.0%
 
3.712.0%
 
ValueCountFrequency (%) 
8.712.0%
 
8.512.0%
 
8.112.0%
 
7.712.0%
 
7.412.0%
 

2008/10_ur
Real number (ℝ≥0)

Distinct36
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.101960784
Minimum3.3
Maximum9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:59.040382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.55
Q15.1
median6.1
Q37.15
95-th percentile8.3
Maximum9
Range5.7
Interquartile range (IQR)2.05

Descriptive statistics

Standard deviation1.443397408
Coefficient of variation (CV)0.2365464904
Kurtosis-0.5854163368
Mean6.101960784
Median Absolute Deviation (MAD)1
Skewness-0.09947088042
Sum311.2
Variance2.083396078
MonotocityNot monotonic
2020-11-24T21:53:59.150075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
6.147.8%
 
6.335.9%
 
7.135.9%
 
635.9%
 
523.9%
 
6.923.9%
 
7.323.9%
 
5.323.9%
 
7.623.9%
 
5.123.9%
 
Other values (26)2651.0%
 
ValueCountFrequency (%) 
3.312.0%
 
3.412.0%
 
3.512.0%
 
3.612.0%
 
412.0%
 
ValueCountFrequency (%) 
912.0%
 
8.912.0%
 
8.512.0%
 
8.112.0%
 
812.0%
 

2008/11_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.490196078
Minimum3.5
Maximum9.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:59.257893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile3.8
Q15.45
median6.4
Q37.65
95-th percentile8.8
Maximum9.5
Range6
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.544442281
Coefficient of variation (CV)0.2379654271
Kurtosis-0.6841876297
Mean6.490196078
Median Absolute Deviation (MAD)1.1
Skewness-0.07798381469
Sum331
Variance2.385301961
MonotocityNot monotonic
2020-11-24T21:53:59.357319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
6.459.8%
 
6.635.9%
 
3.823.9%
 
6.523.9%
 
5.723.9%
 
623.9%
 
8.523.9%
 
7.423.9%
 
5.623.9%
 
5.423.9%
 
Other values (21)2752.9%
 
ValueCountFrequency (%) 
3.512.0%
 
3.612.0%
 
3.823.9%
 
4.212.0%
 
4.412.0%
 
ValueCountFrequency (%) 
9.512.0%
 
9.312.0%
 
8.912.0%
 
8.723.9%
 
8.523.9%
 

2008/12_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.919607843
Minimum3.7
Maximum10.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:59.468773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile3.95
Q15.8
median6.8
Q38.3
95-th percentile9.4
Maximum10.1
Range6.4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.635483978
Coefficient of variation (CV)0.2363550096
Kurtosis-0.6864104631
Mean6.919607843
Median Absolute Deviation (MAD)1.3
Skewness-0.0510080094
Sum352.9
Variance2.674807843
MonotocityNot monotonic
2020-11-24T21:53:59.576881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
6.859.8%
 
747.8%
 
9.335.9%
 
8.335.9%
 
5.335.9%
 
3.923.9%
 
623.9%
 
6.723.9%
 
8.523.9%
 
5.923.9%
 
Other values (20)2345.1%
 
ValueCountFrequency (%) 
3.712.0%
 
3.923.9%
 
412.0%
 
4.712.0%
 
4.812.0%
 
ValueCountFrequency (%) 
10.112.0%
 
9.712.0%
 
9.512.0%
 
9.335.9%
 
912.0%
 

2009/01_ur
Real number (ℝ≥0)

Distinct35
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.380392157
Minimum3.9
Maximum11.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:59.696845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile4.35
Q16.15
median7.2
Q38.9
95-th percentile10.1
Maximum11.2
Range7.3
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.743676531
Coefficient of variation (CV)0.2362579784
Kurtosis-0.5774550778
Mean7.380392157
Median Absolute Deviation (MAD)1.3
Skewness0.05929323481
Sum376.4
Variance3.040407843
MonotocityNot monotonic
2020-11-24T21:53:59.808905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
7.2611.8%
 
9.135.9%
 
6.135.9%
 
7.135.9%
 
5.723.9%
 
9.823.9%
 
6.423.9%
 
6.323.9%
 
8.923.9%
 
912.0%
 
Other values (25)2549.0%
 
ValueCountFrequency (%) 
3.912.0%
 
4.112.0%
 
4.312.0%
 
4.412.0%
 
5.112.0%
 
ValueCountFrequency (%) 
11.212.0%
 
10.312.0%
 
10.212.0%
 
1012.0%
 
9.823.9%
 

2009/02_ur
Real number (ℝ≥0)

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.807843137
Minimum4.1
Maximum12.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:53:59.938893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile4.8
Q16.5
median7.6
Q39.4
95-th percentile10.6
Maximum12.2
Range8.1
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.847576048
Coefficient of variation (CV)0.2366307847
Kurtosis-0.4829581906
Mean7.807843137
Median Absolute Deviation (MAD)1.3
Skewness0.1578825991
Sum398.2
Variance3.413537255
MonotocityNot monotonic
2020-11-24T21:54:00.082763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
7.647.8%
 
6.835.9%
 
6.535.9%
 
6.135.9%
 
6.323.9%
 
9.723.9%
 
7.523.9%
 
10.623.9%
 
7.423.9%
 
7.212.0%
 
Other values (27)2752.9%
 
ValueCountFrequency (%) 
4.112.0%
 
4.312.0%
 
4.612.0%
 
512.0%
 
5.512.0%
 
ValueCountFrequency (%) 
12.212.0%
 
1112.0%
 
10.623.9%
 
10.312.0%
 
10.212.0%
 

2009/03_ur
Real number (ℝ≥0)

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.174509804
Minimum4.2
Maximum13.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:00.224596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4.2
5-th percentile5.25
Q16.85
median7.9
Q39.8
95-th percentile11
Maximum13.1
Range8.9
Interquartile range (IQR)2.95

Descriptive statistics

Standard deviation1.920504427
Coefficient of variation (CV)0.2349381765
Kurtosis-0.2722343742
Mean8.174509804
Median Absolute Deviation (MAD)1.4
Skewness0.2359800991
Sum416.9
Variance3.688337255
MonotocityNot monotonic
2020-11-24T21:54:00.348906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
7.735.9%
 
7.935.9%
 
6.823.9%
 
10.423.9%
 
723.9%
 
1023.9%
 
6.523.9%
 
10.523.9%
 
10.223.9%
 
7.523.9%
 
Other values (27)2956.9%
 
ValueCountFrequency (%) 
4.212.0%
 
4.512.0%
 
4.912.0%
 
5.612.0%
 
5.912.0%
 
ValueCountFrequency (%) 
13.112.0%
 
11.612.0%
 
11.112.0%
 
10.912.0%
 
10.612.0%
 

2009/04_ur
Real number (ℝ≥0)

Distinct38
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.443137255
Minimum4.3
Maximum13.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:00.482793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4.3
5-th percentile5.55
Q16.95
median8.2
Q310.15
95-th percentile11.25
Maximum13.8
Range9.5
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.989497917
Coefficient of variation (CV)0.2356349135
Kurtosis-0.1226365207
Mean8.443137255
Median Absolute Deviation (MAD)1.4
Skewness0.264120939
Sum430.6
Variance3.958101961
MonotocityNot monotonic
2020-11-24T21:54:00.653902image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%) 
8.247.8%
 
7.735.9%
 
7.623.9%
 
7.923.9%
 
10.623.9%
 
6.823.9%
 
10.823.9%
 
10.323.9%
 
10.923.9%
 
6.923.9%
 
Other values (28)2854.9%
 
ValueCountFrequency (%) 
4.312.0%
 
4.612.0%
 
512.0%
 
6.112.0%
 
6.212.0%
 
ValueCountFrequency (%) 
13.812.0%
 
11.912.0%
 
11.412.0%
 
11.112.0%
 
10.923.9%
 

2009/05_ur
Real number (ℝ≥0)

Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.664705882
Minimum4.3
Maximum14.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:00.816066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4.3
5-th percentile5.75
Q17.15
median8.3
Q310.4
95-th percentile11.35
Maximum14.4
Range10.1
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.021071352
Coefficient of variation (CV)0.2332533129
Kurtosis0.144558453
Mean8.664705882
Median Absolute Deviation (MAD)1.3
Skewness0.254599189
Sum441.9
Variance4.084729412
MonotocityNot monotonic
2020-11-24T21:54:00.954327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
11.247.8%
 
747.8%
 
8.335.9%
 
835.9%
 
10.623.9%
 
7.523.9%
 
1023.9%
 
7.923.9%
 
6.523.9%
 
9.323.9%
 
Other values (24)2549.0%
 
ValueCountFrequency (%) 
4.312.0%
 
4.712.0%
 
5.112.0%
 
6.412.0%
 
6.523.9%
 
ValueCountFrequency (%) 
14.412.0%
 
11.912.0%
 
11.512.0%
 
11.247.8%
 
1112.0%
 

2009/06_ur
Real number (ℝ≥0)

Distinct35
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.801960784
Minimum4.2
Maximum14.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:01.080091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4.2
5-th percentile5.85
Q17.25
median8.4
Q310.6
95-th percentile11.55
Maximum14.9
Range10.7
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation2.067799816
Coefficient of variation (CV)0.2349249067
Kurtosis0.3618325965
Mean8.801960784
Median Absolute Deviation (MAD)1.5
Skewness0.2510190915
Sum448.9
Variance4.275796078
MonotocityNot monotonic
2020-11-24T21:54:01.206748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
10.747.8%
 
6.935.9%
 
8.435.9%
 
9.335.9%
 
6.635.9%
 
8.135.9%
 
9.723.9%
 
823.9%
 
11.323.9%
 
14.912.0%
 
Other values (25)2549.0%
 
ValueCountFrequency (%) 
4.212.0%
 
4.812.0%
 
5.112.0%
 
6.635.9%
 
6.712.0%
 
ValueCountFrequency (%) 
14.912.0%
 
11.812.0%
 
11.612.0%
 
11.512.0%
 
11.412.0%
 

2009/07_ur
Real number (ℝ≥0)

Distinct36
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.862745098
Minimum4.1
Maximum14.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:01.337267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile5.8
Q17.3
median8.5
Q310.7
95-th percentile11.6
Maximum14.7
Range10.6
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.074122541
Coefficient of variation (CV)0.2340271008
Kurtosis0.190403672
Mean8.862745098
Median Absolute Deviation (MAD)1.6
Skewness0.1247885026
Sum452
Variance4.301984314
MonotocityNot monotonic
2020-11-24T21:54:01.462359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
10.747.8%
 
11.635.9%
 
9.635.9%
 
8.335.9%
 
7.323.9%
 
6.823.9%
 
6.623.9%
 
823.9%
 
10.823.9%
 
6.923.9%
 
Other values (26)2651.0%
 
ValueCountFrequency (%) 
4.112.0%
 
4.812.0%
 
512.0%
 
6.623.9%
 
6.712.0%
 
ValueCountFrequency (%) 
14.712.0%
 
11.712.0%
 
11.635.9%
 
11.512.0%
 
11.312.0%
 

2009/08_ur
Real number (ℝ≥0)

Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.903921569
Minimum4.1
Maximum14.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:01.588634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile5.75
Q17.3
median8.5
Q310.7
95-th percentile11.7
Maximum14.6
Range10.5
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.087291143
Coefficient of variation (CV)0.2344238015
Kurtosis0.0718611111
Mean8.903921569
Median Absolute Deviation (MAD)1.5
Skewness0.07467604839
Sum454.1
Variance4.356784314
MonotocityNot monotonic
2020-11-24T21:54:01.716818image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
10.835.9%
 
8.435.9%
 
9.635.9%
 
10.735.9%
 
823.9%
 
10.923.9%
 
7.323.9%
 
11.623.9%
 
7.223.9%
 
6.823.9%
 
Other values (24)2752.9%
 
ValueCountFrequency (%) 
4.112.0%
 
4.812.0%
 
512.0%
 
6.512.0%
 
6.623.9%
 
ValueCountFrequency (%) 
14.612.0%
 
1212.0%
 
11.812.0%
 
11.623.9%
 
11.412.0%
 

2009/09_ur
Real number (ℝ≥0)

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.92745098
Minimum4
Maximum14.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:01.842761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.75
Q17.3
median8.6
Q310.75
95-th percentile11.85
Maximum14.4
Range10.4
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.103623391
Coefficient of variation (CV)0.2356353898
Kurtosis-0.07198694774
Mean8.92745098
Median Absolute Deviation (MAD)1.7
Skewness0.01076347333
Sum455.3
Variance4.425231373
MonotocityNot monotonic
2020-11-24T21:54:01.973554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
835.9%
 
7.335.9%
 
10.835.9%
 
6.535.9%
 
8.423.9%
 
9.723.9%
 
11.223.9%
 
6.923.9%
 
8.823.9%
 
1123.9%
 
Other values (27)2752.9%
 
ValueCountFrequency (%) 
412.0%
 
4.812.0%
 
512.0%
 
6.535.9%
 
6.812.0%
 
ValueCountFrequency (%) 
14.412.0%
 
12.212.0%
 
11.912.0%
 
11.812.0%
 
11.612.0%
 

2009/10_ur
Real number (ℝ≥0)

Distinct39
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.954901961
Minimum4
Maximum14.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:02.102705image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.7
Q17.35
median8.6
Q310.65
95-th percentile11.9
Maximum14.2
Range10.2
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.100886834
Coefficient of variation (CV)0.2346074634
Kurtosis-0.1488753614
Mean8.954901961
Median Absolute Deviation (MAD)1.6
Skewness-0.03683596673
Sum456.7
Variance4.41372549
MonotocityNot monotonic
2020-11-24T21:54:02.242956image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
823.9%
 
1123.9%
 
7.923.9%
 
10.623.9%
 
6.423.9%
 
723.9%
 
8.123.9%
 
11.923.9%
 
10.323.9%
 
11.123.9%
 
Other values (29)3160.8%
 
ValueCountFrequency (%) 
412.0%
 
4.812.0%
 
512.0%
 
6.423.9%
 
6.512.0%
 
ValueCountFrequency (%) 
14.212.0%
 
12.412.0%
 
11.923.9%
 
11.612.0%
 
11.212.0%
 

2009/11_ur
Real number (ℝ≥0)

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.984313725
Minimum4
Maximum14
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:02.374107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.75
Q17.4
median8.8
Q310.65
95-th percentile11.95
Maximum14
Range10
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.102510171
Coefficient of variation (CV)0.2340201194
Kurtosis-0.2391036838
Mean8.984313725
Median Absolute Deviation (MAD)1.7
Skewness-0.06166455507
Sum458.2
Variance4.42054902
MonotocityNot monotonic
2020-11-24T21:54:02.501451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
11.235.9%
 
7.235.9%
 
6.435.9%
 
8.235.9%
 
7.123.9%
 
10.523.9%
 
8.823.9%
 
10.923.9%
 
823.9%
 
10.623.9%
 
Other values (27)2752.9%
 
ValueCountFrequency (%) 
412.0%
 
4.812.0%
 
5.112.0%
 
6.435.9%
 
712.0%
 
ValueCountFrequency (%) 
1412.0%
 
12.612.0%
 
1212.0%
 
11.912.0%
 
11.612.0%
 

2009/12_ur
Real number (ℝ≥0)

Distinct36
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.021568627
Minimum4
Maximum13.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:02.651981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.7
Q17.5
median8.8
Q310.75
95-th percentile11.95
Maximum13.9
Range9.9
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.111711507
Coefficient of variation (CV)0.2340736511
Kurtosis-0.2608258652
Mean9.021568627
Median Absolute Deviation (MAD)1.6
Skewness-0.08829100346
Sum460.1
Variance4.45932549
MonotocityNot monotonic
2020-11-24T21:54:02.781294image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
11.259.8%
 
7.247.8%
 
835.9%
 
8.923.9%
 
10.523.9%
 
9.823.9%
 
8.223.9%
 
6.323.9%
 
8.323.9%
 
10.612.0%
 
Other values (26)2651.0%
 
ValueCountFrequency (%) 
412.0%
 
4.812.0%
 
5.112.0%
 
6.323.9%
 
6.412.0%
 
ValueCountFrequency (%) 
13.912.0%
 
12.812.0%
 
12.112.0%
 
11.812.0%
 
11.712.0%
 

2010/01_ur
Real number (ℝ≥0)

Distinct35
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.02745098
Minimum4
Maximum13.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:02.902351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.75
Q17.6
median8.8
Q310.85
95-th percentile11.9
Maximum13.7
Range9.7
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.099531227
Coefficient of variation (CV)0.2325718779
Kurtosis-0.2507404077
Mean9.02745098
Median Absolute Deviation (MAD)1.6
Skewness-0.09071610274
Sum460.4
Variance4.408031373
MonotocityNot monotonic
2020-11-24T21:54:03.026939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
9.835.9%
 
10.435.9%
 
823.9%
 
8.823.9%
 
7.723.9%
 
8.223.9%
 
11.223.9%
 
6.323.9%
 
7.123.9%
 
11.723.9%
 
Other values (25)2956.9%
 
ValueCountFrequency (%) 
412.0%
 
4.812.0%
 
5.212.0%
 
6.323.9%
 
6.412.0%
 
ValueCountFrequency (%) 
13.712.0%
 
13.112.0%
 
12.112.0%
 
11.723.9%
 
11.312.0%
 

2010/02_ur
Real number (ℝ≥0)

Distinct36
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.007843137
Minimum4
Maximum13.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:03.146382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.65
Q17.65
median8.7
Q310.85
95-th percentile11.9
Maximum13.5
Range9.5
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.093307731
Coefficient of variation (CV)0.2323872317
Kurtosis-0.2136770502
Mean9.007843137
Median Absolute Deviation (MAD)1.6
Skewness-0.1035313774
Sum459.4
Variance4.381937255
MonotocityNot monotonic
2020-11-24T21:54:03.265550image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
10.935.9%
 
11.135.9%
 
8.735.9%
 
9.723.9%
 
7.423.9%
 
8.223.9%
 
6.323.9%
 
11.623.9%
 
823.9%
 
7.123.9%
 
Other values (26)2854.9%
 
ValueCountFrequency (%) 
412.0%
 
4.812.0%
 
5.112.0%
 
6.212.0%
 
6.323.9%
 
ValueCountFrequency (%) 
13.512.0%
 
13.312.0%
 
12.212.0%
 
11.623.9%
 
11.312.0%
 

2010/03_ur
Real number (ℝ≥0)

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.952941176
Minimum3.9
Maximum13.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:03.392921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile5.6
Q17.65
median8.7
Q310.8
95-th percentile11.85
Maximum13.4
Range9.5
Interquartile range (IQR)3.15

Descriptive statistics

Standard deviation2.07974546
Coefficient of variation (CV)0.2322974561
Kurtosis-0.1458511995
Mean8.952941176
Median Absolute Deviation (MAD)1.5
Skewness-0.1173708336
Sum456.6
Variance4.325341176
MonotocityNot monotonic
2020-11-24T21:54:03.532861image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
8.747.8%
 
10.847.8%
 
8.235.9%
 
6.223.9%
 
1123.9%
 
10.523.9%
 
7.723.9%
 
11.323.9%
 
823.9%
 
6.112.0%
 
Other values (27)2752.9%
 
ValueCountFrequency (%) 
3.912.0%
 
4.812.0%
 
5.112.0%
 
6.112.0%
 
6.223.9%
 
ValueCountFrequency (%) 
13.412.0%
 
13.312.0%
 
12.212.0%
 
11.512.0%
 
11.323.9%
 

2010/04_ur
Real number (ℝ≥0)

Distinct39
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.860784314
Minimum3.8
Maximum13.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:03.653671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile5.5
Q17.6
median8.7
Q310.6
95-th percentile11.75
Maximum13.5
Range9.7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.055244845
Coefficient of variation (CV)0.2319484114
Kurtosis-0.01040253126
Mean8.860784314
Median Absolute Deviation (MAD)1.6
Skewness-0.1390717736
Sum451.9
Variance4.224031373
MonotocityNot monotonic
2020-11-24T21:54:03.775526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
10.747.8%
 
8.735.9%
 
8.235.9%
 
823.9%
 
7.723.9%
 
9.123.9%
 
10.823.9%
 
8.523.9%
 
9.512.0%
 
13.512.0%
 
Other values (29)2956.9%
 
ValueCountFrequency (%) 
3.812.0%
 
4.712.0%
 
512.0%
 
612.0%
 
6.112.0%
 
ValueCountFrequency (%) 
13.512.0%
 
1312.0%
 
12.212.0%
 
11.312.0%
 
11.212.0%
 

2010/05_ur
Real number (ℝ≥0)

Distinct42
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.758823529
Minimum3.8
Maximum13.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:03.904994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile5.35
Q17.5
median8.6
Q310.35
95-th percentile11.65
Maximum13.6
Range9.8
Interquartile range (IQR)2.85

Descriptive statistics

Standard deviation2.033733165
Coefficient of variation (CV)0.2321925038
Kurtosis0.05474391681
Mean8.758823529
Median Absolute Deviation (MAD)1.6
Skewness-0.1262420604
Sum446.7
Variance4.136070588
MonotocityNot monotonic
2020-11-24T21:54:04.038409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%) 
10.535.9%
 
8.135.9%
 
8.523.9%
 
10.323.9%
 
6.923.9%
 
9.623.9%
 
8.423.9%
 
8.812.0%
 
4.912.0%
 
7.412.0%
 
Other values (32)3262.7%
 
ValueCountFrequency (%) 
3.812.0%
 
4.712.0%
 
4.912.0%
 
5.812.0%
 
612.0%
 
ValueCountFrequency (%) 
13.612.0%
 
12.712.0%
 
12.112.0%
 
11.212.0%
 
11.112.0%
 

2010/06_ur
Real number (ℝ≥0)

Distinct39
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.668627451
Minimum3.8
Maximum13.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:04.170344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile5.35
Q17.45
median8.5
Q310.15
95-th percentile11.65
Maximum13.6
Range9.8
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.999548969
Coefficient of variation (CV)0.230665002
Kurtosis0.1690668528
Mean8.668627451
Median Absolute Deviation (MAD)1.5
Skewness-0.1118993936
Sum442.1
Variance3.998196078
MonotocityNot monotonic
2020-11-24T21:54:04.285545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
10.235.9%
 
8.435.9%
 
723.9%
 
8.123.9%
 
10.123.9%
 
7.923.9%
 
8.323.9%
 
8.523.9%
 
9.423.9%
 
7.323.9%
 
Other values (29)2956.9%
 
ValueCountFrequency (%) 
3.812.0%
 
4.612.0%
 
4.912.0%
 
5.812.0%
 
5.912.0%
 
ValueCountFrequency (%) 
13.612.0%
 
12.412.0%
 
12.112.0%
 
11.212.0%
 
1112.0%
 

2010/07_ur
Real number (ℝ≥0)

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.609803922
Minimum3.7
Maximum13.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:04.407481image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile5.3
Q17.35
median8.5
Q310
95-th percentile11.65
Maximum13.6
Range9.9
Interquartile range (IQR)2.65

Descriptive statistics

Standard deviation1.98919631
Coefficient of variation (CV)0.2310385147
Kurtosis0.2718386859
Mean8.609803922
Median Absolute Deviation (MAD)1.5
Skewness-0.1303081375
Sum439.1
Variance3.956901961
MonotocityNot monotonic
2020-11-24T21:54:04.525107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
1035.9%
 
10.235.9%
 
7.223.9%
 
8.323.9%
 
9.423.9%
 
8.523.9%
 
8.423.9%
 
9.223.9%
 
8.123.9%
 
10.823.9%
 
Other values (27)2956.9%
 
ValueCountFrequency (%) 
3.712.0%
 
4.512.0%
 
4.912.0%
 
5.712.0%
 
5.912.0%
 
ValueCountFrequency (%) 
13.612.0%
 
12.212.0%
 
12.112.0%
 
11.212.0%
 
10.823.9%
 

2010/08_ur
Real number (ℝ≥0)

Distinct39
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.580392157
Minimum3.7
Maximum13.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:04.643401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile5.3
Q17.35
median8.5
Q39.95
95-th percentile11.6
Maximum13.6
Range9.9
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.981415616
Coefficient of variation (CV)0.2309236664
Kurtosis0.2702861016
Mean8.580392157
Median Absolute Deviation (MAD)1.4
Skewness-0.1277243312
Sum437.6
Variance3.926007843
MonotocityNot monotonic
2020-11-24T21:54:04.759542image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
8.147.8%
 
9.223.9%
 
10.823.9%
 
8.223.9%
 
6.923.9%
 
9.423.9%
 
7.223.9%
 
9.823.9%
 
1023.9%
 
9.923.9%
 
Other values (29)2956.9%
 
ValueCountFrequency (%) 
3.712.0%
 
4.512.0%
 
4.912.0%
 
5.712.0%
 
5.912.0%
 
ValueCountFrequency (%) 
13.612.0%
 
12.112.0%
 
1212.0%
 
11.212.0%
 
10.823.9%
 

2010/09_ur
Real number (ℝ≥0)

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.57254902
Minimum3.7
Maximum13.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:04.873301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile5.3
Q17.35
median8.5
Q39.95
95-th percentile11.55
Maximum13.7
Range10
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.988072275
Coefficient of variation (CV)0.2319114503
Kurtosis0.3131861109
Mean8.57254902
Median Absolute Deviation (MAD)1.3
Skewness-0.1048542099
Sum437.2
Variance3.952431373
MonotocityNot monotonic
2020-11-24T21:54:04.998488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
8.247.8%
 
1035.9%
 
6.935.9%
 
8.123.9%
 
823.9%
 
9.323.9%
 
9.423.9%
 
7.223.9%
 
9.823.9%
 
10.423.9%
 
Other values (27)2752.9%
 
ValueCountFrequency (%) 
3.712.0%
 
4.512.0%
 
4.912.0%
 
5.712.0%
 
5.812.0%
 
ValueCountFrequency (%) 
13.712.0%
 
12.212.0%
 
11.912.0%
 
11.212.0%
 
10.912.0%
 

2010/10_ur
Real number (ℝ≥0)

Distinct38
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.556862745
Minimum3.7
Maximum13.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:05.111478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile5.25
Q17.35
median8.5
Q39.9
95-th percentile11.45
Maximum13.7
Range10
Interquartile range (IQR)2.55

Descriptive statistics

Standard deviation1.99140703
Coefficient of variation (CV)0.2327263028
Kurtosis0.2791653658
Mean8.556862745
Median Absolute Deviation (MAD)1.3
Skewness-0.1152968585
Sum436.4
Variance3.965701961
MonotocityNot monotonic
2020-11-24T21:54:05.230675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%) 
9.735.9%
 
9.435.9%
 
823.9%
 
8.123.9%
 
1023.9%
 
8.323.9%
 
6.923.9%
 
7.223.9%
 
10.123.9%
 
8.223.9%
 
Other values (28)2956.9%
 
ValueCountFrequency (%) 
3.712.0%
 
4.512.0%
 
4.912.0%
 
5.612.0%
 
5.812.0%
 
ValueCountFrequency (%) 
13.712.0%
 
12.212.0%
 
11.712.0%
 
11.212.0%
 
10.912.0%
 

2010/11_ur
Real number (ℝ≥0)

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.52745098
Minimum3.6
Maximum13.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:05.347897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile5.25
Q17.35
median8.4
Q39.85
95-th percentile11.3
Maximum13.7
Range10.1
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.980714864
Coefficient of variation (CV)0.2322751393
Kurtosis0.3282704537
Mean8.52745098
Median Absolute Deviation (MAD)1.3
Skewness-0.1404475711
Sum434.9
Variance3.923231373
MonotocityNot monotonic
2020-11-24T21:54:07.571354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
1035.9%
 
8.835.9%
 
9.635.9%
 
8.135.9%
 
10.223.9%
 
6.923.9%
 
9.423.9%
 
9.523.9%
 
8.323.9%
 
7.923.9%
 
Other values (27)2752.9%
 
ValueCountFrequency (%) 
3.612.0%
 
4.512.0%
 
4.912.0%
 
5.612.0%
 
5.812.0%
 
ValueCountFrequency (%) 
13.712.0%
 
12.112.0%
 
11.412.0%
 
11.212.0%
 
10.812.0%
 

2010/12_ur
Real number (ℝ≥0)

Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.470588235
Minimum3.6
Maximum13.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:07.697546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile5.25
Q17.35
median8.4
Q39.75
95-th percentile11.2
Maximum13.6
Range10
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.964005511
Coefficient of variation (CV)0.2318617617
Kurtosis0.3142559027
Mean8.470588235
Median Absolute Deviation (MAD)1.2
Skewness-0.1148284893
Sum432
Variance3.857317647
MonotocityNot monotonic
2020-11-24T21:54:07.828109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
9.535.9%
 
835.9%
 
8.735.9%
 
7.835.9%
 
11.223.9%
 
1023.9%
 
9.423.9%
 
8.123.9%
 
9.223.9%
 
10.723.9%
 
Other values (24)2752.9%
 
ValueCountFrequency (%) 
3.612.0%
 
4.512.0%
 
512.0%
 
5.512.0%
 
5.712.0%
 
ValueCountFrequency (%) 
13.612.0%
 
12.112.0%
 
11.223.9%
 
10.723.9%
 
10.512.0%
 

2011/01_ur
Real number (ℝ≥0)

Distinct41
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.394117647
Minimum3.5
Maximum13.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:07.945066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile5.2
Q17.3
median8.4
Q39.65
95-th percentile10.95
Maximum13.5
Range10
Interquartile range (IQR)2.35

Descriptive statistics

Standard deviation1.947245415
Coefficient of variation (CV)0.2319773795
Kurtosis0.3359298286
Mean8.394117647
Median Absolute Deviation (MAD)1.2
Skewness-0.135240117
Sum428.1
Variance3.791764706
MonotocityNot monotonic
2020-11-24T21:54:08.068429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
9.435.9%
 
9.823.9%
 
7.323.9%
 
9.123.9%
 
9.223.9%
 
7.923.9%
 
9.623.9%
 
6.923.9%
 
823.9%
 
7.412.0%
 
Other values (31)3160.8%
 
ValueCountFrequency (%) 
3.512.0%
 
4.512.0%
 
512.0%
 
5.412.0%
 
5.712.0%
 
ValueCountFrequency (%) 
13.512.0%
 
1212.0%
 
1112.0%
 
10.912.0%
 
10.712.0%
 

2011/02_ur
Real number (ℝ≥0)

Distinct41
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.315686275
Minimum3.5
Maximum13.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:08.190098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile5.15
Q17.25
median8.4
Q39.65
95-th percentile10.85
Maximum13.4
Range9.9
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.942099127
Coefficient of variation (CV)0.2335464642
Kurtosis0.2576384152
Mean8.315686275
Median Absolute Deviation (MAD)1.2
Skewness-0.1169473437
Sum424.1
Variance3.77174902
MonotocityNot monotonic
2020-11-24T21:54:08.312977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
9.435.9%
 
8.423.9%
 
7.823.9%
 
8.923.9%
 
8.123.9%
 
7.923.9%
 
9.723.9%
 
7.323.9%
 
6.723.9%
 
6.812.0%
 
Other values (31)3160.8%
 
ValueCountFrequency (%) 
3.512.0%
 
4.512.0%
 
512.0%
 
5.312.0%
 
5.612.0%
 
ValueCountFrequency (%) 
13.412.0%
 
11.912.0%
 
1112.0%
 
10.712.0%
 
10.612.0%
 

2011/03_ur
Real number (ℝ≥0)

Distinct36
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.245098039
Minimum3.5
Maximum13.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:08.442663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile5.15
Q17.2
median8.3
Q39.55
95-th percentile10.75
Maximum13.3
Range9.8
Interquartile range (IQR)2.35

Descriptive statistics

Standard deviation1.936937142
Coefficient of variation (CV)0.2349198436
Kurtosis0.2087193618
Mean8.245098039
Median Absolute Deviation (MAD)1.2
Skewness-0.1102539374
Sum420.5
Variance3.75172549
MonotocityNot monotonic
2020-11-24T21:54:08.567222image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
1035.9%
 
10.235.9%
 
7.235.9%
 
9.435.9%
 
6.723.9%
 
7.723.9%
 
9.623.9%
 
823.9%
 
8.823.9%
 
10.623.9%
 
Other values (26)2752.9%
 
ValueCountFrequency (%) 
3.512.0%
 
4.412.0%
 
512.0%
 
5.312.0%
 
5.512.0%
 
ValueCountFrequency (%) 
13.312.0%
 
11.812.0%
 
10.912.0%
 
10.623.9%
 
10.235.9%
 

2011/04_ur
Real number (ℝ≥0)

Distinct36
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.194117647
Minimum3.5
Maximum13.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:08.689702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile5.1
Q17.1
median8.1
Q39.5
95-th percentile10.7
Maximum13.2
Range9.7
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.935501151
Coefficient of variation (CV)0.2362061706
Kurtosis0.1277100842
Mean8.194117647
Median Absolute Deviation (MAD)1.4
Skewness-0.1118217376
Sum417.9
Variance3.746164706
MonotocityNot monotonic
2020-11-24T21:54:08.808949image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
10.135.9%
 
9.435.9%
 
5.523.9%
 
10.523.9%
 
8.123.9%
 
8.623.9%
 
7.823.9%
 
7.123.9%
 
7.623.9%
 
9.523.9%
 
Other values (26)2956.9%
 
ValueCountFrequency (%) 
3.512.0%
 
4.412.0%
 
4.912.0%
 
5.312.0%
 
5.523.9%
 
ValueCountFrequency (%) 
13.212.0%
 
11.712.0%
 
10.912.0%
 
10.523.9%
 
10.212.0%
 

2011/05_ur
Real number (ℝ≥0)

Distinct38
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.174509804
Minimum3.5
Maximum13.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:08.928001image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile5.05
Q17
median8.1
Q39.5
95-th percentile10.7
Maximum13.2
Range9.7
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.951291176
Coefficient of variation (CV)0.2387043655
Kurtosis0.06770179381
Mean8.174509804
Median Absolute Deviation (MAD)1.3
Skewness-0.08962951919
Sum416.9
Variance3.807537255
MonotocityNot monotonic
2020-11-24T21:54:09.045313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%) 
7.835.9%
 
9.435.9%
 
923.9%
 
7.323.9%
 
6.423.9%
 
1023.9%
 
5.523.9%
 
8.523.9%
 
5.823.9%
 
823.9%
 
Other values (28)2956.9%
 
ValueCountFrequency (%) 
3.512.0%
 
4.412.0%
 
4.812.0%
 
5.312.0%
 
5.523.9%
 
ValueCountFrequency (%) 
13.212.0%
 
11.712.0%
 
10.912.0%
 
10.523.9%
 
10.412.0%
 

2011/06_ur
Real number (ℝ≥0)

Distinct38
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.166666667
Minimum3.5
Maximum13.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:09.160342image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile5.05
Q16.9
median8.2
Q39.6
95-th percentile10.75
Maximum13.1
Range9.6
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.960782157
Coefficient of variation (CV)0.2400957743
Kurtosis-0.01917905553
Mean8.166666667
Median Absolute Deviation (MAD)1.4
Skewness-0.09356932825
Sum416.5
Variance3.844666667
MonotocityNot monotonic
2020-11-24T21:54:09.267455image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%) 
7.935.9%
 
7.823.9%
 
10.523.9%
 
1023.9%
 
9.423.9%
 
923.9%
 
9.823.9%
 
8.223.9%
 
7.523.9%
 
8.423.9%
 
Other values (28)3058.8%
 
ValueCountFrequency (%) 
3.512.0%
 
4.412.0%
 
4.712.0%
 
5.423.9%
 
5.512.0%
 
ValueCountFrequency (%) 
13.112.0%
 
11.712.0%
 
10.912.0%
 
10.612.0%
 
10.523.9%
 

2011/07_ur
Real number (ℝ≥0)

Distinct39
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.133333333
Minimum3.5
Maximum13.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:09.371321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile5.05
Q16.9
median8.2
Q39.55
95-th percentile10.75
Maximum13.1
Range9.6
Interquartile range (IQR)2.65

Descriptive statistics

Standard deviation1.962515393
Coefficient of variation (CV)0.2412928762
Kurtosis-0.007471264586
Mean8.133333333
Median Absolute Deviation (MAD)1.4
Skewness-0.08341394465
Sum414.8
Variance3.851466667
MonotocityNot monotonic
2020-11-24T21:54:09.483466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
8.335.9%
 
8.223.9%
 
9.223.9%
 
6.523.9%
 
9.423.9%
 
7.923.9%
 
7.223.9%
 
7.823.9%
 
5.423.9%
 
7.523.9%
 
Other values (29)3058.8%
 
ValueCountFrequency (%) 
3.512.0%
 
4.312.0%
 
4.712.0%
 
5.423.9%
 
5.512.0%
 
ValueCountFrequency (%) 
13.112.0%
 
11.712.0%
 
10.912.0%
 
10.612.0%
 
10.423.9%
 

2011/08_ur
Real number (ℝ≥0)

Distinct38
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.098039216
Minimum3.5
Maximum13
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:09.593992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile5
Q16.9
median8.2
Q39.5
95-th percentile10.75
Maximum13
Range9.5
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.949306563
Coefficient of variation (CV)0.2407134013
Kurtosis-0.01937387238
Mean8.098039216
Median Absolute Deviation (MAD)1.3
Skewness-0.07614816181
Sum413
Variance3.799796078
MonotocityNot monotonic
2020-11-24T21:54:09.700841image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%) 
8.247.8%
 
9.335.9%
 
7.535.9%
 
5.523.9%
 
1023.9%
 
9.523.9%
 
7.723.9%
 
10.323.9%
 
6.923.9%
 
812.0%
 
Other values (28)2854.9%
 
ValueCountFrequency (%) 
3.512.0%
 
4.312.0%
 
4.612.0%
 
5.412.0%
 
5.523.9%
 
ValueCountFrequency (%) 
1312.0%
 
11.612.0%
 
1112.0%
 
10.512.0%
 
10.412.0%
 

2011/09_ur
Real number (ℝ≥0)

Distinct38
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.033333333
Minimum3.5
Maximum12.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:09.809339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile5
Q16.85
median8.1
Q39.3
95-th percentile10.75
Maximum12.9
Range9.4
Interquartile range (IQR)2.45

Descriptive statistics

Standard deviation1.915585202
Coefficient of variation (CV)0.2384545895
Kurtosis0.04691765307
Mean8.033333333
Median Absolute Deviation (MAD)1.2
Skewness-0.06107693724
Sum409.7
Variance3.669466667
MonotocityNot monotonic
2020-11-24T21:54:09.921717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%) 
9.347.8%
 
7.635.9%
 
8.135.9%
 
10.223.9%
 
9.923.9%
 
5.523.9%
 
8.723.9%
 
7.523.9%
 
7.823.9%
 
8.412.0%
 
Other values (28)2854.9%
 
ValueCountFrequency (%) 
3.512.0%
 
4.312.0%
 
4.612.0%
 
5.412.0%
 
5.523.9%
 
ValueCountFrequency (%) 
12.912.0%
 
11.512.0%
 
11.112.0%
 
10.412.0%
 
10.223.9%
 

2011/10_ur
Real number (ℝ≥0)

Distinct36
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.937254902
Minimum3.4
Maximum12.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:10.027086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile4.9
Q16.75
median7.9
Q39.25
95-th percentile10.75
Maximum12.7
Range9.3
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.895358624
Coefficient of variation (CV)0.238792712
Kurtosis0.05405298558
Mean7.937254902
Median Absolute Deviation (MAD)1.3
Skewness-0.06820318745
Sum404.8
Variance3.592384314
MonotocityNot monotonic
2020-11-24T21:54:10.139240image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
7.547.8%
 
9.835.9%
 
9.335.9%
 
10.123.9%
 
9.223.9%
 
7.923.9%
 
6.923.9%
 
8.423.9%
 
6.223.9%
 
8.523.9%
 
Other values (26)2752.9%
 
ValueCountFrequency (%) 
3.412.0%
 
4.312.0%
 
4.512.0%
 
5.312.0%
 
5.412.0%
 
ValueCountFrequency (%) 
12.712.0%
 
11.312.0%
 
11.212.0%
 
10.312.0%
 
10.123.9%
 

2011/11_ur
Real number (ℝ≥0)

Distinct38
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.821568627
Minimum3.3
Maximum12.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:10.267465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile4.85
Q16.65
median7.8
Q39.05
95-th percentile10.65
Maximum12.5
Range9.2
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.870648414
Coefficient of variation (CV)0.2391653776
Kurtosis0.1194136023
Mean7.821568627
Median Absolute Deviation (MAD)1.3
Skewness-0.07078960649
Sum398.9
Variance3.49932549
MonotocityNot monotonic
2020-11-24T21:54:10.411301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%) 
9.635.9%
 
8.223.9%
 
7.623.9%
 
923.9%
 
7.723.9%
 
7.923.9%
 
11.223.9%
 
9.223.9%
 
7.523.9%
 
5.323.9%
 
Other values (28)3058.8%
 
ValueCountFrequency (%) 
3.312.0%
 
4.212.0%
 
4.412.0%
 
5.323.9%
 
5.412.0%
 
ValueCountFrequency (%) 
12.512.0%
 
11.223.9%
 
10.112.0%
 
1012.0%
 
9.912.0%
 

2011/12_ur
Real number (ℝ≥0)

Distinct39
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.71372549
Minimum3.3
Maximum12.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:10.550354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile4.8
Q16.6
median7.7
Q38.9
95-th percentile10.45
Maximum12.3
Range9
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation1.826145625
Coefficient of variation (CV)0.2367397734
Kurtosis0.1623972538
Mean7.71372549
Median Absolute Deviation (MAD)1.3
Skewness-0.04717432339
Sum393.4
Variance3.334807843
MonotocityNot monotonic
2020-11-24T21:54:10.669574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
7.435.9%
 
9.423.9%
 
8.823.9%
 
8.723.9%
 
7.223.9%
 
7.823.9%
 
9.923.9%
 
6.823.9%
 
8.323.9%
 
5.623.9%
 
Other values (29)3058.8%
 
ValueCountFrequency (%) 
3.312.0%
 
4.212.0%
 
4.412.0%
 
5.212.0%
 
5.312.0%
 
ValueCountFrequency (%) 
12.312.0%
 
11.212.0%
 
1112.0%
 
9.923.9%
 
9.712.0%
 

2012/01_ur
Real number (ℝ≥0)

Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.603921569
Minimum3.2
Maximum12
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:10.792182image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile4.7
Q16.5
median7.7
Q38.75
95-th percentile10.3
Maximum12
Range8.8
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.808973276
Coefficient of variation (CV)0.237900044
Kurtosis0.14913547
Mean7.603921569
Median Absolute Deviation (MAD)1.1
Skewness-0.07624048429
Sum387.8
Variance3.272384314
MonotocityNot monotonic
2020-11-24T21:54:10.901896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
7.759.8%
 
8.635.9%
 
7.135.9%
 
9.235.9%
 
7.323.9%
 
5.423.9%
 
6.723.9%
 
7.423.9%
 
8.123.9%
 
9.723.9%
 
Other values (24)2549.0%
 
ValueCountFrequency (%) 
3.212.0%
 
4.112.0%
 
4.312.0%
 
5.112.0%
 
5.212.0%
 
ValueCountFrequency (%) 
1212.0%
 
11.212.0%
 
10.912.0%
 
9.723.9%
 
9.612.0%
 

2012/02_ur
Real number (ℝ≥0)

Distinct38
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.515686275
Minimum3.1
Maximum11.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:11.018421image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile4.7
Q16.4
median7.6
Q38.7
95-th percentile10.2
Maximum11.8
Range8.7
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation1.788784229
Coefficient of variation (CV)0.238006772
Kurtosis0.1375071223
Mean7.515686275
Median Absolute Deviation (MAD)1.1
Skewness-0.1028331432
Sum383.3
Variance3.19974902
MonotocityNot monotonic
2020-11-24T21:54:11.129086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%) 
7.659.8%
 
7.135.9%
 
7.323.9%
 
9.123.9%
 
8.223.9%
 
5.423.9%
 
5.123.9%
 
8.723.9%
 
9.623.9%
 
3.112.0%
 
Other values (28)2854.9%
 
ValueCountFrequency (%) 
3.112.0%
 
412.0%
 
4.312.0%
 
5.123.9%
 
5.312.0%
 
ValueCountFrequency (%) 
11.812.0%
 
1112.0%
 
10.812.0%
 
9.623.9%
 
9.512.0%
 

2012/03_ur
Real number (ℝ≥0)

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.454901961
Minimum3
Maximum11.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:11.245204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.65
Q16.3
median7.5
Q38.65
95-th percentile10.1
Maximum11.6
Range8.6
Interquartile range (IQR)2.35

Descriptive statistics

Standard deviation1.780821577
Coefficient of variation (CV)0.2388792752
Kurtosis0.07691096161
Mean7.454901961
Median Absolute Deviation (MAD)1.2
Skewness-0.1485387273
Sum380.2
Variance3.17132549
MonotocityNot monotonic
2020-11-24T21:54:11.355004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
7.335.9%
 
7.535.9%
 
7.123.9%
 
9.423.9%
 
9.323.9%
 
7.623.9%
 
6.123.9%
 
523.9%
 
8.623.9%
 
6.923.9%
 
Other values (27)2956.9%
 
ValueCountFrequency (%) 
312.0%
 
412.0%
 
4.312.0%
 
523.9%
 
5.212.0%
 
ValueCountFrequency (%) 
11.612.0%
 
10.912.0%
 
10.712.0%
 
9.512.0%
 
9.423.9%
 

2012/04_ur
Real number (ℝ≥0)

Distinct36
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.439215686
Minimum3
Maximum11.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:11.465812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.65
Q16.25
median7.5
Q38.65
95-th percentile10.1
Maximum11.5
Range8.5
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.770771406
Coefficient of variation (CV)0.2380320024
Kurtosis0.01032794592
Mean7.439215686
Median Absolute Deviation (MAD)1.2
Skewness-0.1784527456
Sum379.4
Variance3.135631373
MonotocityNot monotonic
2020-11-24T21:54:11.573860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
8.935.9%
 
9.335.9%
 
7.135.9%
 
7.523.9%
 
8.123.9%
 
8.323.9%
 
7.323.9%
 
5.623.9%
 
6.123.9%
 
10.723.9%
 
Other values (26)2854.9%
 
ValueCountFrequency (%) 
312.0%
 
412.0%
 
4.312.0%
 
523.9%
 
5.212.0%
 
ValueCountFrequency (%) 
11.512.0%
 
10.723.9%
 
9.512.0%
 
9.412.0%
 
9.335.9%
 

2012/05_ur
Real number (ℝ≥0)

Distinct35
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.415686275
Minimum3
Maximum11.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:11.689506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.65
Q16.2
median7.4
Q38.6
95-th percentile10
Maximum11.4
Range8.4
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.754465451
Coefficient of variation (CV)0.2365884136
Kurtosis-0.0187472198
Mean7.415686275
Median Absolute Deviation (MAD)1.3
Skewness-0.2132737316
Sum378.2
Variance3.07814902
MonotocityNot monotonic
2020-11-24T21:54:11.794934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
7.435.9%
 
7.235.9%
 
9.423.9%
 
9.223.9%
 
6.923.9%
 
5.523.9%
 
6.123.9%
 
7.123.9%
 
10.623.9%
 
923.9%
 
Other values (25)2956.9%
 
ValueCountFrequency (%) 
312.0%
 
412.0%
 
4.312.0%
 
523.9%
 
5.112.0%
 
ValueCountFrequency (%) 
11.412.0%
 
10.623.9%
 
9.423.9%
 
9.223.9%
 
9.123.9%
 

2012/06_ur
Real number (ℝ≥0)

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.376470588
Minimum3
Maximum11.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:11.903085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.65
Q16.1
median7.5
Q38.6
95-th percentile9.9
Maximum11.2
Range8.2
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.738687808
Coefficient of variation (CV)0.2357072786
Kurtosis-0.1004048562
Mean7.376470588
Median Absolute Deviation (MAD)1.3
Skewness-0.2587164227
Sum376.2
Variance3.023035294
MonotocityNot monotonic
2020-11-24T21:54:12.009461image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
7.535.9%
 
8.235.9%
 
7.135.9%
 
7.923.9%
 
6.923.9%
 
9.123.9%
 
6.123.9%
 
7.323.9%
 
923.9%
 
523.9%
 
Other values (27)2854.9%
 
ValueCountFrequency (%) 
312.0%
 
3.912.0%
 
4.312.0%
 
523.9%
 
5.112.0%
 
ValueCountFrequency (%) 
11.212.0%
 
10.512.0%
 
10.412.0%
 
9.412.0%
 
9.312.0%
 

2012/07_ur
Real number (ℝ≥0)

Distinct33
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.335294118
Minimum3
Maximum11.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:12.121075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.7
Q16
median7.5
Q38.55
95-th percentile9.85
Maximum11.1
Range8.1
Interquartile range (IQR)2.55

Descriptive statistics

Standard deviation1.71357212
Coefficient of variation (CV)0.2336064639
Kurtosis-0.1380284675
Mean7.335294118
Median Absolute Deviation (MAD)1.2
Skewness-0.2657824053
Sum374.1
Variance2.936329412
MonotocityNot monotonic
2020-11-24T21:54:12.239103image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
935.9%
 
635.9%
 
7.135.9%
 
8.223.9%
 
6.623.9%
 
523.9%
 
7.923.9%
 
5.323.9%
 
8.323.9%
 
5.623.9%
 
Other values (23)2854.9%
 
ValueCountFrequency (%) 
312.0%
 
3.912.0%
 
4.412.0%
 
523.9%
 
5.212.0%
 
ValueCountFrequency (%) 
11.112.0%
 
10.323.9%
 
9.412.0%
 
9.212.0%
 
9.123.9%
 

2012/08_ur
Real number (ℝ≥0)

Distinct33
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.276470588
Minimum3.1
Maximum10.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:12.362000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile4.65
Q15.9
median7.4
Q38.45
95-th percentile9.75
Maximum10.9
Range7.8
Interquartile range (IQR)2.55

Descriptive statistics

Standard deviation1.678164263
Coefficient of variation (CV)0.2306288801
Kurtosis-0.202097728
Mean7.276470588
Median Absolute Deviation (MAD)1.3
Skewness-0.2766214095
Sum371.1
Variance2.816235294
MonotocityNot monotonic
2020-11-24T21:54:12.479111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
747.8%
 
5.635.9%
 
8.935.9%
 
7.835.9%
 
523.9%
 
923.9%
 
5.223.9%
 
8.723.9%
 
8.323.9%
 
6.823.9%
 
Other values (23)2651.0%
 
ValueCountFrequency (%) 
3.112.0%
 
3.912.0%
 
4.312.0%
 
523.9%
 
5.223.9%
 
ValueCountFrequency (%) 
10.912.0%
 
10.212.0%
 
10.112.0%
 
9.412.0%
 
9.112.0%
 

2012/09_ur
Real number (ℝ≥0)

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.223529412
Minimum3.1
Maximum10.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:12.602810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile4.6
Q15.85
median7.3
Q38.35
95-th percentile9.6
Maximum10.8
Range7.7
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.658865665
Coefficient of variation (CV)0.2296475269
Kurtosis-0.2600930791
Mean7.223529412
Median Absolute Deviation (MAD)1.4
Skewness-0.2708903999
Sum368.4
Variance2.751835294
MonotocityNot monotonic
2020-11-24T21:54:12.742945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
5.635.9%
 
6.935.9%
 
8.323.9%
 
923.9%
 
7.223.9%
 
8.723.9%
 
8.223.9%
 
7.823.9%
 
723.9%
 
6.723.9%
 
Other values (27)2956.9%
 
ValueCountFrequency (%) 
3.112.0%
 
412.0%
 
4.312.0%
 
4.912.0%
 
512.0%
 
ValueCountFrequency (%) 
10.812.0%
 
10.112.0%
 
9.912.0%
 
9.312.0%
 
9.112.0%
 

2012/10_ur
Real number (ℝ≥0)

Distinct38
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.168627451
Minimum3.1
Maximum10.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:12.931929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile4.5
Q15.8
median7.3
Q38.35
95-th percentile9.55
Maximum10.6
Range7.5
Interquartile range (IQR)2.55

Descriptive statistics

Standard deviation1.638595764
Coefficient of variation (CV)0.2285787308
Kurtosis-0.2961330498
Mean7.168627451
Median Absolute Deviation (MAD)1.3
Skewness-0.3145576079
Sum365.6
Variance2.684996078
MonotocityNot monotonic
2020-11-24T21:54:13.095663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%) 
7.635.9%
 
5.823.9%
 
7.823.9%
 
923.9%
 
5.523.9%
 
8.623.9%
 
6.923.9%
 
8.723.9%
 
723.9%
 
7.323.9%
 
Other values (28)3058.8%
 
ValueCountFrequency (%) 
3.112.0%
 
412.0%
 
4.212.0%
 
4.812.0%
 
4.912.0%
 
ValueCountFrequency (%) 
10.612.0%
 
9.912.0%
 
9.812.0%
 
9.312.0%
 
923.9%
 

2012/11_ur
Real number (ℝ≥0)

Distinct36
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.125490196
Minimum3.1
Maximum10.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:13.235098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile4.4
Q15.75
median7.3
Q38.3
95-th percentile9.45
Maximum10.5
Range7.4
Interquartile range (IQR)2.55

Descriptive statistics

Standard deviation1.634483789
Coefficient of variation (CV)0.2293854519
Kurtosis-0.3466904322
Mean7.125490196
Median Absolute Deviation (MAD)1.2
Skewness-0.3345828946
Sum363.4
Variance2.671537255
MonotocityNot monotonic
2020-11-24T21:54:13.360200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
7.547.8%
 
935.9%
 
6.735.9%
 
5.223.9%
 
6.923.9%
 
8.723.9%
 
7.823.9%
 
6.823.9%
 
9.723.9%
 
8.323.9%
 
Other values (26)2752.9%
 
ValueCountFrequency (%) 
3.112.0%
 
412.0%
 
4.112.0%
 
4.712.0%
 
4.912.0%
 
ValueCountFrequency (%) 
10.512.0%
 
9.723.9%
 
9.212.0%
 
935.9%
 
8.912.0%
 

2012/12_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.096078431
Minimum3.1
Maximum10.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:13.479524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile4.35
Q15.65
median7.4
Q38.3
95-th percentile9.35
Maximum10.4
Range7.3
Interquartile range (IQR)2.65

Descriptive statistics

Standard deviation1.62885982
Coefficient of variation (CV)0.2295436608
Kurtosis-0.3773890664
Mean7.096078431
Median Absolute Deviation (MAD)1
Skewness-0.3623886765
Sum361.9
Variance2.653184314
MonotocityNot monotonic
2020-11-24T21:54:13.586262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
7.459.8%
 
7.847.8%
 
6.835.9%
 
9.123.9%
 
8.923.9%
 
423.9%
 
8.123.9%
 
8.423.9%
 
5.323.9%
 
6.923.9%
 
Other values (21)2549.0%
 
ValueCountFrequency (%) 
3.112.0%
 
423.9%
 
4.712.0%
 
4.912.0%
 
512.0%
 
ValueCountFrequency (%) 
10.412.0%
 
9.623.9%
 
9.123.9%
 
912.0%
 
8.923.9%
 

2013/01_ur
Real number (ℝ≥0)

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.049019608
Minimum3.1
Maximum10.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:13.697022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile4.25
Q15.65
median7.2
Q38.25
95-th percentile9.3
Maximum10.3
Range7.2
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.6276821
Coefficient of variation (CV)0.2309090045
Kurtosis-0.3991981132
Mean7.049019608
Median Absolute Deviation (MAD)1.2
Skewness-0.3832001346
Sum359.5
Variance2.64934902
MonotocityNot monotonic
2020-11-24T21:54:13.808436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
6.947.8%
 
7.523.9%
 
923.9%
 
6.723.9%
 
4.923.9%
 
3.923.9%
 
8.423.9%
 
7.223.9%
 
7.323.9%
 
8.123.9%
 
Other values (27)2956.9%
 
ValueCountFrequency (%) 
3.112.0%
 
3.923.9%
 
4.612.0%
 
4.923.9%
 
5.123.9%
 
ValueCountFrequency (%) 
10.312.0%
 
9.512.0%
 
9.412.0%
 
9.212.0%
 
923.9%
 

2013/02_ur
Real number (ℝ≥0)

Distinct35
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.996078431
Minimum3
Maximum10.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:13.921051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.2
Q15.6
median7.1
Q38.2
95-th percentile9.25
Maximum10.2
Range7.2
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.612074537
Coefficient of variation (CV)0.2304254524
Kurtosis-0.3541533949
Mean6.996078431
Median Absolute Deviation (MAD)1.2
Skewness-0.4215965049
Sum356.8
Variance2.598784314
MonotocityNot monotonic
2020-11-24T21:54:14.038393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
735.9%
 
6.935.9%
 
7.623.9%
 
8.323.9%
 
523.9%
 
5.523.9%
 
9.323.9%
 
8.723.9%
 
3.923.9%
 
823.9%
 
Other values (25)2956.9%
 
ValueCountFrequency (%) 
312.0%
 
3.923.9%
 
4.512.0%
 
4.812.0%
 
4.912.0%
 
ValueCountFrequency (%) 
10.212.0%
 
9.323.9%
 
9.212.0%
 
8.923.9%
 
8.812.0%
 

2013/03_ur
Real number (ℝ≥0)

Distinct33
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.929411765
Minimum3
Maximum10
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:14.158907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.2
Q15.6
median7
Q38.15
95-th percentile9.2
Maximum10
Range7
Interquartile range (IQR)2.55

Descriptive statistics

Standard deviation1.593523658
Coefficient of variation (CV)0.2299652137
Kurtosis-0.3753671655
Mean6.929411765
Median Absolute Deviation (MAD)1.2
Skewness-0.4394652733
Sum353.4
Variance2.539317647
MonotocityNot monotonic
2020-11-24T21:54:14.271239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
6.847.8%
 
9.235.9%
 
7.535.9%
 
6.935.9%
 
8.235.9%
 
4.935.9%
 
8.123.9%
 
5.323.9%
 
723.9%
 
7.223.9%
 
Other values (23)2447.1%
 
ValueCountFrequency (%) 
312.0%
 
3.812.0%
 
3.912.0%
 
4.512.0%
 
4.712.0%
 
ValueCountFrequency (%) 
1012.0%
 
9.235.9%
 
8.912.0%
 
8.812.0%
 
8.712.0%
 

2013/04_ur
Real number (ℝ≥0)

Distinct35
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.864705882
Minimum3
Maximum9.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:14.386442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.2
Q15.6
median7
Q38
95-th percentile9.1
Maximum9.9
Range6.9
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.569690865
Coefficient of variation (CV)0.2286610515
Kurtosis-0.36949726
Mean6.864705882
Median Absolute Deviation (MAD)1.1
Skewness-0.4296490174
Sum350.1
Variance2.463929412
MonotocityNot monotonic
2020-11-24T21:54:14.492602image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
6.847.8%
 
835.9%
 
8.723.9%
 
8.323.9%
 
4.923.9%
 
6.723.9%
 
7.123.9%
 
6.923.9%
 
723.9%
 
9.123.9%
 
Other values (25)2854.9%
 
ValueCountFrequency (%) 
312.0%
 
3.812.0%
 
3.912.0%
 
4.512.0%
 
4.612.0%
 
ValueCountFrequency (%) 
9.912.0%
 
9.212.0%
 
9.123.9%
 
8.812.0%
 
8.723.9%
 

2013/05_ur
Real number (ℝ≥0)

Distinct36
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.796078431
Minimum2.9
Maximum9.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:14.603408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile4.15
Q15.5
median6.9
Q37.9
95-th percentile9.05
Maximum9.7
Range6.8
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.558840695
Coefficient of variation (CV)0.2293735588
Kurtosis-0.3578582835
Mean6.796078431
Median Absolute Deviation (MAD)1.1
Skewness-0.4394260134
Sum346.6
Variance2.429984314
MonotocityNot monotonic
2020-11-24T21:54:14.711025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
6.947.8%
 
6.735.9%
 
7.223.9%
 
6.823.9%
 
8.723.9%
 
4.823.9%
 
5.423.9%
 
7.423.9%
 
8.123.9%
 
6.323.9%
 
Other values (26)2854.9%
 
ValueCountFrequency (%) 
2.912.0%
 
3.812.0%
 
3.912.0%
 
4.412.0%
 
4.612.0%
 
ValueCountFrequency (%) 
9.712.0%
 
9.212.0%
 
9.112.0%
 
912.0%
 
8.723.9%
 

2013/06_ur
Real number (ℝ≥0)

Distinct38
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.731372549
Minimum2.9
Maximum9.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:14.836639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile4.1
Q15.5
median6.8
Q37.85
95-th percentile9
Maximum9.6
Range6.7
Interquartile range (IQR)2.35

Descriptive statistics

Standard deviation1.554797761
Coefficient of variation (CV)0.2309778206
Kurtosis-0.3930052249
Mean6.731372549
Median Absolute Deviation (MAD)1.1
Skewness-0.4210802072
Sum343.3
Variance2.417396078
MonotocityNot monotonic
2020-11-24T21:54:14.964600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%) 
6.635.9%
 
6.735.9%
 
6.835.9%
 
723.9%
 
7.623.9%
 
6.223.9%
 
7.923.9%
 
3.823.9%
 
7.123.9%
 
7.723.9%
 
Other values (28)2854.9%
 
ValueCountFrequency (%) 
2.912.0%
 
3.823.9%
 
4.412.0%
 
4.512.0%
 
4.612.0%
 
ValueCountFrequency (%) 
9.612.0%
 
9.212.0%
 
9.112.0%
 
8.912.0%
 
8.712.0%
 

2013/07_ur
Real number (ℝ≥0)

Distinct36
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.666666667
Minimum2.8
Maximum9.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:15.095253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile4.1
Q15.5
median6.8
Q37.7
95-th percentile8.9
Maximum9.5
Range6.7
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.528354235
Coefficient of variation (CV)0.2292531352
Kurtosis-0.2768362221
Mean6.666666667
Median Absolute Deviation (MAD)1
Skewness-0.4425603707
Sum340
Variance2.335866667
MonotocityNot monotonic
2020-11-24T21:54:15.216925image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
6.659.8%
 
735.9%
 
7.535.9%
 
6.723.9%
 
6.523.9%
 
7.823.9%
 
8.123.9%
 
6.123.9%
 
4.823.9%
 
7.723.9%
 
Other values (26)2651.0%
 
ValueCountFrequency (%) 
2.812.0%
 
3.712.0%
 
3.812.0%
 
4.412.0%
 
4.512.0%
 
ValueCountFrequency (%) 
9.512.0%
 
9.212.0%
 
912.0%
 
8.812.0%
 
8.612.0%
 

2013/08_ur
Real number (ℝ≥0)

Distinct33
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.598039216
Minimum2.8
Maximum9.3
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:15.344385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile4
Q15.45
median6.8
Q37.6
95-th percentile8.85
Maximum9.3
Range6.5
Interquartile range (IQR)2.15

Descriptive statistics

Standard deviation1.52190541
Coefficient of variation (CV)0.2306602554
Kurtosis-0.3137718248
Mean6.598039216
Median Absolute Deviation (MAD)0.8
Skewness-0.4160616111
Sum336.5
Variance2.316196078
MonotocityNot monotonic
2020-11-24T21:54:15.482796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
7.647.8%
 
6.547.8%
 
6.935.9%
 
6.635.9%
 
4.823.9%
 
623.9%
 
6.423.9%
 
4.623.9%
 
3.723.9%
 
723.9%
 
Other values (23)2549.0%
 
ValueCountFrequency (%) 
2.812.0%
 
3.723.9%
 
4.312.0%
 
4.412.0%
 
4.623.9%
 
ValueCountFrequency (%) 
9.312.0%
 
9.212.0%
 
912.0%
 
8.712.0%
 
8.612.0%
 

2013/09_ur
Real number (ℝ≥0)

Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.521568627
Minimum2.8
Maximum9.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:15.603516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile4
Q15.45
median6.8
Q37.5
95-th percentile8.75
Maximum9.2
Range6.4
Interquartile range (IQR)2.05

Descriptive statistics

Standard deviation1.494565318
Coefficient of variation (CV)0.2291726736
Kurtosis-0.2847267638
Mean6.521568627
Median Absolute Deviation (MAD)0.9
Skewness-0.4222207731
Sum332.6
Variance2.23372549
MonotocityNot monotonic
2020-11-24T21:54:15.733189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
7.559.8%
 
6.447.8%
 
7.135.9%
 
6.535.9%
 
6.935.9%
 
6.823.9%
 
7.823.9%
 
4.323.9%
 
5.923.9%
 
812.0%
 
Other values (24)2447.1%
 
ValueCountFrequency (%) 
2.812.0%
 
3.612.0%
 
3.712.0%
 
4.323.9%
 
4.512.0%
 
ValueCountFrequency (%) 
9.212.0%
 
9.112.0%
 
8.912.0%
 
8.612.0%
 
8.512.0%
 

2013/10_ur
Real number (ℝ≥0)

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.425490196
Minimum2.8
Maximum9.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:15.852206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.95
Q15.35
median6.7
Q37.35
95-th percentile8.6
Maximum9.1
Range6.3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.460252463
Coefficient of variation (CV)0.2272593091
Kurtosis-0.2791723782
Mean6.425490196
Median Absolute Deviation (MAD)0.8
Skewness-0.4011100373
Sum327.7
Variance2.132337255
MonotocityNot monotonic
2020-11-24T21:54:15.956764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
6.347.8%
 
6.835.9%
 
7.435.9%
 
6.735.9%
 
6.435.9%
 
7.323.9%
 
4.523.9%
 
7.123.9%
 
7.223.9%
 
8.323.9%
 
Other values (22)2549.0%
 
ValueCountFrequency (%) 
2.812.0%
 
3.612.0%
 
3.712.0%
 
4.223.9%
 
4.523.9%
 
ValueCountFrequency (%) 
9.112.0%
 
912.0%
 
8.712.0%
 
8.512.0%
 
8.323.9%
 

2013/11_ur
Real number (ℝ≥0)

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.331372549
Minimum2.8
Maximum9.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:16.069248image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.9
Q15.35
median6.6
Q37.25
95-th percentile8.45
Maximum9.1
Range6.3
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation1.43366526
Coefficient of variation (CV)0.2264383037
Kurtosis-0.283679714
Mean6.331372549
Median Absolute Deviation (MAD)0.8
Skewness-0.3673367462
Sum322.9
Variance2.055396078
MonotocityNot monotonic
2020-11-24T21:54:16.180565image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
6.647.8%
 
6.235.9%
 
6.935.9%
 
7.323.9%
 
4.223.9%
 
7.423.9%
 
3.623.9%
 
723.9%
 
6.323.9%
 
7.223.9%
 
Other values (22)2752.9%
 
ValueCountFrequency (%) 
2.812.0%
 
3.623.9%
 
4.223.9%
 
4.412.0%
 
4.512.0%
 
ValueCountFrequency (%) 
9.112.0%
 
8.812.0%
 
8.612.0%
 
8.312.0%
 
8.212.0%
 

2013/12_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.239215686
Minimum2.7
Maximum9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:16.296932image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.85
Q15.25
median6.5
Q37.2
95-th percentile8.3
Maximum9
Range6.3
Interquartile range (IQR)1.95

Descriptive statistics

Standard deviation1.419729331
Coefficient of variation (CV)0.2275493271
Kurtosis-0.2610549018
Mean6.239215686
Median Absolute Deviation (MAD)0.8
Skewness-0.3728754147
Sum318.2
Variance2.015631373
MonotocityNot monotonic
2020-11-24T21:54:16.407507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
6.847.8%
 
6.535.9%
 
6.135.9%
 
7.235.9%
 
6.935.9%
 
4.823.9%
 
5.123.9%
 
4.423.9%
 
4.123.9%
 
6.423.9%
 
Other values (21)2549.0%
 
ValueCountFrequency (%) 
2.712.0%
 
3.512.0%
 
3.612.0%
 
4.123.9%
 
4.423.9%
 
ValueCountFrequency (%) 
912.0%
 
8.712.0%
 
8.412.0%
 
8.212.0%
 
8.112.0%
 

2014/01_ur
Real number (ℝ≥0)

Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.152941176
Minimum2.7
Maximum8.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:16.534315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.8
Q15.1
median6.4
Q37.1
95-th percentile8.15
Maximum8.8
Range6.1
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.389583094
Coefficient of variation (CV)0.2258404647
Kurtosis-0.3219534294
Mean6.152941176
Median Absolute Deviation (MAD)0.9
Skewness-0.3608136607
Sum313.8
Variance1.930941176
MonotocityNot monotonic
2020-11-24T21:54:16.647022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
4.735.9%
 
6.735.9%
 
7.935.9%
 
635.9%
 
7.135.9%
 
523.9%
 
6.123.9%
 
6.223.9%
 
4.423.9%
 
6.923.9%
 
Other values (24)2651.0%
 
ValueCountFrequency (%) 
2.712.0%
 
3.512.0%
 
3.612.0%
 
412.0%
 
4.112.0%
 
ValueCountFrequency (%) 
8.812.0%
 
8.612.0%
 
8.212.0%
 
8.112.0%
 
7.935.9%
 

2014/02_ur
Real number (ℝ≥0)

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.068627451
Minimum2.7
Maximum8.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:16.762017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.7
Q15
median6.2
Q37
95-th percentile8
Maximum8.6
Range5.9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.372223043
Coefficient of variation (CV)0.2261175288
Kurtosis-0.406027448
Mean6.068627451
Median Absolute Deviation (MAD)0.9
Skewness-0.36110498
Sum309.5
Variance1.882996078
MonotocityNot monotonic
2020-11-24T21:54:16.867864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
747.8%
 
6.535.9%
 
635.9%
 
6.135.9%
 
4.623.9%
 
6.823.9%
 
823.9%
 
5.523.9%
 
7.223.9%
 
4.923.9%
 
Other values (22)2651.0%
 
ValueCountFrequency (%) 
2.712.0%
 
3.523.9%
 
3.912.0%
 
4.112.0%
 
4.312.0%
 
ValueCountFrequency (%) 
8.612.0%
 
8.412.0%
 
823.9%
 
7.923.9%
 
7.812.0%
 

2014/03_ur
Real number (ℝ≥0)

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.994117647
Minimum2.7
Maximum8.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:17.009763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.7
Q14.95
median6.1
Q36.95
95-th percentile7.85
Maximum8.4
Range5.7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.349431253
Coefficient of variation (CV)0.2251259205
Kurtosis-0.4797413252
Mean5.994117647
Median Absolute Deviation (MAD)0.9
Skewness-0.3663534744
Sum305.7
Variance1.820964706
MonotocityNot monotonic
2020-11-24T21:54:17.117871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
6.547.8%
 
5.935.9%
 
6.935.9%
 
635.9%
 
7.235.9%
 
6.323.9%
 
4.623.9%
 
6.123.9%
 
3.523.9%
 
723.9%
 
Other values (22)2549.0%
 
ValueCountFrequency (%) 
2.712.0%
 
3.523.9%
 
3.912.0%
 
412.0%
 
4.212.0%
 
ValueCountFrequency (%) 
8.412.0%
 
8.312.0%
 
7.912.0%
 
7.823.9%
 
7.723.9%
 

2014/04_ur
Real number (ℝ≥0)

Distinct33
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.911764706
Minimum2.6
Maximum8.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:17.231556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile3.65
Q14.9
median6
Q36.85
95-th percentile7.8
Maximum8.2
Range5.6
Interquartile range (IQR)1.95

Descriptive statistics

Standard deviation1.331712741
Coefficient of variation (CV)0.2252648417
Kurtosis-0.4374730998
Mean5.911764706
Median Absolute Deviation (MAD)1
Skewness-0.4106235463
Sum301.5
Variance1.773458824
MonotocityNot monotonic
2020-11-24T21:54:17.333112image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
635.9%
 
6.435.9%
 
5.335.9%
 
5.935.9%
 
4.623.9%
 
8.223.9%
 
4.523.9%
 
6.723.9%
 
7.123.9%
 
6.823.9%
 
Other values (23)2752.9%
 
ValueCountFrequency (%) 
2.612.0%
 
3.412.0%
 
3.512.0%
 
3.812.0%
 
412.0%
 
ValueCountFrequency (%) 
8.223.9%
 
7.823.9%
 
7.712.0%
 
7.512.0%
 
7.412.0%
 

2014/05_ur
Real number (ℝ≥0)

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.839215686
Minimum2.6
Maximum8.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:17.445670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile3.6
Q14.8
median6
Q36.75
95-th percentile7.75
Maximum8.1
Range5.5
Interquartile range (IQR)1.95

Descriptive statistics

Standard deviation1.302624801
Coefficient of variation (CV)0.223082152
Kurtosis-0.4475326907
Mean5.839215686
Median Absolute Deviation (MAD)0.9
Skewness-0.4337280794
Sum297.8
Variance1.696831373
MonotocityNot monotonic
2020-11-24T21:54:17.557258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
5.935.9%
 
5.823.9%
 
6.823.9%
 
4.523.9%
 
623.9%
 
3.423.9%
 
6.523.9%
 
6.123.9%
 
6.623.9%
 
6.223.9%
 
Other values (27)3058.8%
 
ValueCountFrequency (%) 
2.612.0%
 
3.423.9%
 
3.812.0%
 
412.0%
 
4.112.0%
 
ValueCountFrequency (%) 
8.112.0%
 
7.912.0%
 
7.812.0%
 
7.712.0%
 
7.612.0%
 

2014/06_ur
Real number (ℝ≥0)

Distinct33
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.758823529
Minimum2.6
Maximum7.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:17.662803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile3.55
Q14.8
median6
Q36.65
95-th percentile7.65
Maximum7.9
Range5.3
Interquartile range (IQR)1.85

Descriptive statistics

Standard deviation1.286728638
Coefficient of variation (CV)0.223436025
Kurtosis-0.5038403949
Mean5.758823529
Median Absolute Deviation (MAD)0.8
Skewness-0.4458866649
Sum293.7
Variance1.655670588
MonotocityNot monotonic
2020-11-24T21:54:17.770396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
6.335.9%
 
6.535.9%
 
5.835.9%
 
6.835.9%
 
6.623.9%
 
7.223.9%
 
5.723.9%
 
4.923.9%
 
4.123.9%
 
6.123.9%
 
Other values (23)2752.9%
 
ValueCountFrequency (%) 
2.612.0%
 
3.312.0%
 
3.412.0%
 
3.712.0%
 
3.912.0%
 
ValueCountFrequency (%) 
7.912.0%
 
7.812.0%
 
7.712.0%
 
7.612.0%
 
7.512.0%
 

2014/07_ur
Real number (ℝ≥0)

Distinct33
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.682352941
Minimum2.7
Maximum7.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:17.876257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.5
Q14.65
median5.9
Q36.6
95-th percentile7.45
Maximum7.8
Range5.1
Interquartile range (IQR)1.95

Descriptive statistics

Standard deviation1.264390111
Coefficient of variation (CV)0.2225117173
Kurtosis-0.5778185079
Mean5.682352941
Median Absolute Deviation (MAD)0.8
Skewness-0.4382179075
Sum289.8
Variance1.598682353
MonotocityNot monotonic
2020-11-24T21:54:17.985972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
6.535.9%
 
5.735.9%
 
4.235.9%
 
6.235.9%
 
6.735.9%
 
6.423.9%
 
7.423.9%
 
6.623.9%
 
5.623.9%
 
5.823.9%
 
Other values (23)2651.0%
 
ValueCountFrequency (%) 
2.712.0%
 
3.212.0%
 
3.312.0%
 
3.712.0%
 
3.912.0%
 
ValueCountFrequency (%) 
7.823.9%
 
7.512.0%
 
7.423.9%
 
7.112.0%
 
712.0%
 

2014/08_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.617647059
Minimum2.7
Maximum7.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:18.086716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.5
Q14.6
median5.8
Q36.6
95-th percentile7.3
Maximum7.8
Range5.1
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.243817653
Coefficient of variation (CV)0.2214125664
Kurtosis-0.6380980211
Mean5.617647059
Median Absolute Deviation (MAD)0.8
Skewness-0.4232577555
Sum286.5
Variance1.547082353
MonotocityNot monotonic
2020-11-24T21:54:18.197227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
6.659.8%
 
6.547.8%
 
5.835.9%
 
635.9%
 
7.335.9%
 
5.635.9%
 
5.523.9%
 
3.923.9%
 
4.623.9%
 
4.323.9%
 
Other values (20)2243.1%
 
ValueCountFrequency (%) 
2.712.0%
 
3.212.0%
 
3.312.0%
 
3.712.0%
 
3.923.9%
 
ValueCountFrequency (%) 
7.812.0%
 
7.612.0%
 
7.335.9%
 
712.0%
 
6.912.0%
 

2014/09_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.558823529
Minimum2.7
Maximum7.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:18.300811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.5
Q14.5
median5.8
Q36.5
95-th percentile7.2
Maximum7.7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.228849294
Coefficient of variation (CV)0.221062836
Kurtosis-0.661188776
Mean5.558823529
Median Absolute Deviation (MAD)0.8
Skewness-0.4118119141
Sum283.5
Variance1.510070588
MonotocityNot monotonic
2020-11-24T21:54:18.405858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
6.547.8%
 
647.8%
 
4.247.8%
 
6.635.9%
 
5.535.9%
 
5.835.9%
 
6.835.9%
 
6.435.9%
 
4.523.9%
 
3.923.9%
 
Other values (17)2039.2%
 
ValueCountFrequency (%) 
2.712.0%
 
3.112.0%
 
3.312.0%
 
3.712.0%
 
3.923.9%
 
ValueCountFrequency (%) 
7.712.0%
 
7.612.0%
 
7.223.9%
 
7.112.0%
 
6.835.9%
 

2014/10_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.484313725
Minimum2.7
Maximum7.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:18.507511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.5
Q14.45
median5.7
Q36.5
95-th percentile7.05
Maximum7.7
Range5
Interquartile range (IQR)2.05

Descriptive statistics

Standard deviation1.218420707
Coefficient of variation (CV)0.2221646624
Kurtosis-0.745267023
Mean5.484313725
Median Absolute Deviation (MAD)0.9
Skewness-0.366733012
Sum279.7
Variance1.48454902
MonotocityNot monotonic
2020-11-24T21:54:18.609915image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
6.547.8%
 
4.147.8%
 
5.435.9%
 
5.935.9%
 
6.435.9%
 
5.735.9%
 
5.623.9%
 
4.523.9%
 
6.923.9%
 
523.9%
 
Other values (18)2345.1%
 
ValueCountFrequency (%) 
2.712.0%
 
3.112.0%
 
3.312.0%
 
3.712.0%
 
3.923.9%
 
ValueCountFrequency (%) 
7.712.0%
 
7.512.0%
 
7.112.0%
 
712.0%
 
6.923.9%
 

2014/11_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.403921569
Minimum2.7
Maximum7.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:18.705649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.5
Q14.35
median5.6
Q36.4
95-th percentile6.95
Maximum7.6
Range4.9
Interquartile range (IQR)2.05

Descriptive statistics

Standard deviation1.201326065
Coefficient of variation (CV)0.2223063472
Kurtosis-0.7784474479
Mean5.403921569
Median Absolute Deviation (MAD)0.9
Skewness-0.3282246641
Sum275.6
Variance1.443184314
MonotocityNot monotonic
2020-11-24T21:54:18.805652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
5.235.9%
 
6.635.9%
 
6.435.9%
 
5.635.9%
 
6.235.9%
 
4.135.9%
 
6.323.9%
 
4.923.9%
 
3.923.9%
 
5.423.9%
 
Other values (19)2549.0%
 
ValueCountFrequency (%) 
2.712.0%
 
312.0%
 
3.412.0%
 
3.612.0%
 
3.812.0%
 
ValueCountFrequency (%) 
7.612.0%
 
7.412.0%
 
712.0%
 
6.923.9%
 
6.812.0%
 

2014/12_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.337254902
Minimum2.7
Maximum7.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:18.903481image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.45
Q14.3
median5.5
Q36.3
95-th percentile6.9
Maximum7.5
Range4.8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.185573411
Coefficient of variation (CV)0.2221316825
Kurtosis-0.8151080141
Mean5.337254902
Median Absolute Deviation (MAD)1
Skewness-0.3198400784
Sum272.2
Variance1.405584314
MonotocityNot monotonic
2020-11-24T21:54:19.004216image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
6.235.9%
 
6.135.9%
 
4.335.9%
 
6.435.9%
 
5.835.9%
 
5.135.9%
 
6.635.9%
 
6.523.9%
 
4.123.9%
 
6.923.9%
 
Other values (20)2447.1%
 
ValueCountFrequency (%) 
2.712.0%
 
312.0%
 
3.312.0%
 
3.612.0%
 
3.823.9%
 
ValueCountFrequency (%) 
7.512.0%
 
7.312.0%
 
6.923.9%
 
6.712.0%
 
6.635.9%
 

2015/01_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.268627451
Minimum2.7
Maximum7.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:19.100408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.4
Q14.25
median5.4
Q36.2
95-th percentile6.8
Maximum7.5
Range4.8
Interquartile range (IQR)1.95

Descriptive statistics

Standard deviation1.170553749
Coefficient of variation (CV)0.2221743252
Kurtosis-0.7805024062
Mean5.268627451
Median Absolute Deviation (MAD)1
Skewness-0.2966720751
Sum268.7
Variance1.370196078
MonotocityNot monotonic
2020-11-24T21:54:19.200520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
5.747.8%
 
635.9%
 
3.835.9%
 
6.535.9%
 
5.435.9%
 
423.9%
 
4.823.9%
 
6.423.9%
 
6.123.9%
 
5.123.9%
 
Other values (20)2549.0%
 
ValueCountFrequency (%) 
2.712.0%
 
2.912.0%
 
3.312.0%
 
3.512.0%
 
3.835.9%
 
ValueCountFrequency (%) 
7.512.0%
 
7.212.0%
 
6.823.9%
 
6.623.9%
 
6.535.9%
 

2015/02_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.221568627
Minimum2.7
Maximum7.4
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:19.293570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.4
Q14.2
median5.4
Q36.1
95-th percentile6.7
Maximum7.4
Range4.7
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation1.153657441
Coefficient of variation (CV)0.2209407791
Kurtosis-0.8019940765
Mean5.221568627
Median Absolute Deviation (MAD)1
Skewness-0.2962468092
Sum266.3
Variance1.33092549
MonotocityNot monotonic
2020-11-24T21:54:19.394926image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
6.447.8%
 
635.9%
 
5.735.9%
 
5.423.9%
 
5.523.9%
 
5.223.9%
 
5.923.9%
 
6.723.9%
 
3.723.9%
 
6.623.9%
 
Other values (21)2752.9%
 
ValueCountFrequency (%) 
2.712.0%
 
2.912.0%
 
3.312.0%
 
3.512.0%
 
3.723.9%
 
ValueCountFrequency (%) 
7.412.0%
 
7.112.0%
 
6.723.9%
 
6.623.9%
 
6.512.0%
 

2015/03_ur
Real number (ℝ≥0)

Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.17254902
Minimum2.7
Maximum7.2
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:19.496642image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.35
Q14.25
median5.3
Q36.05
95-th percentile6.75
Maximum7.2
Range4.5
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation1.14001376
Coefficient of variation (CV)0.2203968982
Kurtosis-0.8323547087
Mean5.17254902
Median Absolute Deviation (MAD)0.9
Skewness-0.2846165338
Sum263.8
Variance1.299631373
MonotocityNot monotonic
2020-11-24T21:54:19.598719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
6.535.9%
 
5.935.9%
 
3.935.9%
 
3.735.9%
 
4.423.9%
 
4.623.9%
 
5.523.9%
 
5.823.9%
 
5.323.9%
 
6.423.9%
 
Other values (24)2752.9%
 
ValueCountFrequency (%) 
2.712.0%
 
2.912.0%
 
3.212.0%
 
3.512.0%
 
3.735.9%
 
ValueCountFrequency (%) 
7.212.0%
 
712.0%
 
6.912.0%
 
6.612.0%
 
6.535.9%
 

2015/04_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.121568627
Minimum2.7
Maximum7.1
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:19.703934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.4
Q14.25
median5.3
Q36.05
95-th percentile6.7
Maximum7.1
Range4.4
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation1.117732298
Coefficient of variation (CV)0.2182402267
Kurtosis-0.8529209647
Mean5.121568627
Median Absolute Deviation (MAD)0.9
Skewness-0.2378182767
Sum261.2
Variance1.24932549
MonotocityNot monotonic
2020-11-24T21:54:19.797440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
4.935.9%
 
6.235.9%
 
3.635.9%
 
6.435.9%
 
6.123.9%
 
5.823.9%
 
3.823.9%
 
5.623.9%
 
5.223.9%
 
6.523.9%
 
Other values (21)2752.9%
 
ValueCountFrequency (%) 
2.712.0%
 
312.0%
 
3.212.0%
 
3.635.9%
 
3.712.0%
 
ValueCountFrequency (%) 
7.112.0%
 
712.0%
 
6.912.0%
 
6.523.9%
 
6.435.9%
 

2015/05_ur
Real number (ℝ≥0)

Distinct33
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.082352941
Minimum2.8
Maximum7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:19.901673image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.35
Q14.25
median5.2
Q36
95-th percentile6.7
Maximum7
Range4.2
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.094843529
Coefficient of variation (CV)0.2154206018
Kurtosis-0.8513715634
Mean5.082352941
Median Absolute Deviation (MAD)0.8
Skewness-0.2048646934
Sum259.2
Variance1.198682353
MonotocityNot monotonic
2020-11-24T21:54:20.003201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
635.9%
 
6.135.9%
 
3.723.9%
 
5.723.9%
 
4.423.9%
 
6.423.9%
 
5.623.9%
 
4.823.9%
 
3.623.9%
 
4.123.9%
 
Other values (23)2956.9%
 
ValueCountFrequency (%) 
2.812.0%
 
312.0%
 
3.212.0%
 
3.512.0%
 
3.623.9%
 
ValueCountFrequency (%) 
723.9%
 
6.912.0%
 
6.512.0%
 
6.423.9%
 
6.323.9%
 

2015/06_ur
Real number (ℝ≥0)

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.029411765
Minimum2.8
Maximum7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:20.107971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.25
Q14.25
median5.2
Q35.9
95-th percentile6.65
Maximum7
Range4.2
Interquartile range (IQR)1.65

Descriptive statistics

Standard deviation1.075415105
Coefficient of variation (CV)0.2138252255
Kurtosis-0.8315993736
Mean5.029411765
Median Absolute Deviation (MAD)0.8
Skewness-0.1804672655
Sum256.5
Variance1.156517647
MonotocityNot monotonic
2020-11-24T21:54:20.204403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
5.947.8%
 
4.447.8%
 
3.635.9%
 
5.335.9%
 
3.823.9%
 
4.823.9%
 
5.123.9%
 
5.623.9%
 
5.223.9%
 
3.123.9%
 
Other values (22)2549.0%
 
ValueCountFrequency (%) 
2.812.0%
 
3.123.9%
 
3.412.0%
 
3.635.9%
 
3.712.0%
 
ValueCountFrequency (%) 
712.0%
 
6.912.0%
 
6.812.0%
 
6.512.0%
 
6.412.0%
 

2015/07_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.974509804
Minimum2.8
Maximum6.9
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:20.303228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.2
Q14.25
median5
Q35.75
95-th percentile6.65
Maximum6.9
Range4.1
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.055811183
Coefficient of variation (CV)0.2122442663
Kurtosis-0.7894471694
Mean4.974509804
Median Absolute Deviation (MAD)0.8
Skewness-0.1489555432
Sum253.7
Variance1.114737255
MonotocityNot monotonic
2020-11-24T21:54:20.395784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
5.747.8%
 
5.247.8%
 
4.335.9%
 
6.135.9%
 
3.835.9%
 
535.9%
 
3.123.9%
 
6.823.9%
 
4.423.9%
 
3.523.9%
 
Other values (18)2345.1%
 
ValueCountFrequency (%) 
2.812.0%
 
3.123.9%
 
3.312.0%
 
3.523.9%
 
3.612.0%
 
ValueCountFrequency (%) 
6.912.0%
 
6.823.9%
 
6.512.0%
 
6.412.0%
 
6.212.0%
 

2015/08_ur
Real number (ℝ≥0)

Distinct33
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.921568627
Minimum2.8
Maximum6.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:20.490908image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.15
Q14.2
median4.9
Q35.7
95-th percentile6.6
Maximum6.7
Range3.9
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.044856684
Coefficient of variation (CV)0.2123015573
Kurtosis-0.8042056465
Mean4.921568627
Median Absolute Deviation (MAD)0.7
Skewness-0.1568950973
Sum251
Variance1.09172549
MonotocityNot monotonic
2020-11-24T21:54:20.591351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
5.247.8%
 
4.247.8%
 
4.935.9%
 
5.635.9%
 
6.735.9%
 
4.623.9%
 
4.423.9%
 
3.823.9%
 
5.723.9%
 
6.123.9%
 
Other values (23)2447.1%
 
ValueCountFrequency (%) 
2.812.0%
 
312.0%
 
3.112.0%
 
3.212.0%
 
3.412.0%
 
ValueCountFrequency (%) 
6.735.9%
 
6.512.0%
 
6.412.0%
 
6.212.0%
 
6.123.9%
 

2015/09_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.882352941
Minimum2.8
Maximum6.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:20.697605image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.15
Q14.1
median4.9
Q35.6
95-th percentile6.55
Maximum6.6
Range3.8
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.029311592
Coefficient of variation (CV)0.2108228561
Kurtosis-0.7959420029
Mean4.882352941
Median Absolute Deviation (MAD)0.8
Skewness-0.1366368342
Sum249
Variance1.059482353
MonotocityNot monotonic
2020-11-24T21:54:20.794624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
4.159.8%
 
5.247.8%
 
5.647.8%
 
6.635.9%
 
5.523.9%
 
4.523.9%
 
5.923.9%
 
4.423.9%
 
3.823.9%
 
3.623.9%
 
Other values (18)2345.1%
 
ValueCountFrequency (%) 
2.812.0%
 
312.0%
 
3.112.0%
 
3.212.0%
 
3.412.0%
 
ValueCountFrequency (%) 
6.635.9%
 
6.523.9%
 
6.212.0%
 
6.112.0%
 
612.0%
 

2015/10_ur
Real number (ℝ≥0)

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.854901961
Minimum2.9
Maximum6.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:20.897069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile3.15
Q14.1
median4.8
Q35.6
95-th percentile6.5
Maximum6.5
Range3.6
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.024756308
Coefficient of variation (CV)0.2110766223
Kurtosis-0.8320175714
Mean4.854901961
Median Absolute Deviation (MAD)0.7
Skewness-0.1305810926
Sum247.6
Variance1.05012549
MonotocityNot monotonic
2020-11-24T21:54:20.994724image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
6.559.8%
 
4.147.8%
 
4.547.8%
 
5.535.9%
 
4.735.9%
 
5.135.9%
 
5.635.9%
 
6.123.9%
 
5.223.9%
 
3.823.9%
 
Other values (17)2039.2%
 
ValueCountFrequency (%) 
2.923.9%
 
3.112.0%
 
3.212.0%
 
3.312.0%
 
3.412.0%
 
ValueCountFrequency (%) 
6.559.8%
 
6.212.0%
 
6.123.9%
 
612.0%
 
5.812.0%
 

2015/11_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.82745098
Minimum2.8
Maximum6.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:21.095257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.1
Q14.1
median4.8
Q35.55
95-th percentile6.45
Maximum6.5
Range3.7
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.0266603
Coefficient of variation (CV)0.2126713051
Kurtosis-0.8105628789
Mean4.82745098
Median Absolute Deviation (MAD)0.7
Skewness-0.1402561305
Sum246.2
Variance1.054031373
MonotocityNot monotonic
2020-11-24T21:54:21.190031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
5.547.8%
 
6.535.9%
 
4.735.9%
 
4.535.9%
 
4.135.9%
 
5.623.9%
 
3.523.9%
 
523.9%
 
323.9%
 
6.423.9%
 
Other values (18)2549.0%
 
ValueCountFrequency (%) 
2.812.0%
 
323.9%
 
3.223.9%
 
3.412.0%
 
3.523.9%
 
ValueCountFrequency (%) 
6.535.9%
 
6.423.9%
 
6.212.0%
 
6.123.9%
 
612.0%
 

2015/12_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.811764706
Minimum2.8
Maximum6.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:21.290474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.15
Q14.1
median4.9
Q35.55
95-th percentile6.4
Maximum6.5
Range3.7
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.024430975
Coefficient of variation (CV)0.212901303
Kurtosis-0.8270836474
Mean4.811764706
Median Absolute Deviation (MAD)0.7
Skewness-0.1443663303
Sum245.4
Variance1.049458824
MonotocityNot monotonic
2020-11-24T21:54:21.388834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
4.947.8%
 
4.647.8%
 
5.535.9%
 
6.135.9%
 
5.635.9%
 
4.123.9%
 
523.9%
 
6.423.9%
 
5.123.9%
 
3.823.9%
 
Other values (19)2447.1%
 
ValueCountFrequency (%) 
2.812.0%
 
2.912.0%
 
3.112.0%
 
3.223.9%
 
3.423.9%
 
ValueCountFrequency (%) 
6.523.9%
 
6.423.9%
 
6.312.0%
 
6.212.0%
 
6.135.9%
 

2016/01_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.788235294
Minimum2.7
Maximum6.5
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:21.494320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.15
Q14.05
median4.9
Q35.5
95-th percentile6.3
Maximum6.5
Range3.8
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.02404044
Coefficient of variation (CV)0.2138659396
Kurtosis-0.7864669912
Mean4.788235294
Median Absolute Deviation (MAD)0.7
Skewness-0.1770832997
Sum244.2
Variance1.048658824
MonotocityNot monotonic
2020-11-24T21:54:21.597285image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
559.8%
 
5.535.9%
 
5.335.9%
 
4.535.9%
 
6.135.9%
 
6.223.9%
 
4.323.9%
 
423.9%
 
4.723.9%
 
3.223.9%
 
Other values (19)2447.1%
 
ValueCountFrequency (%) 
2.712.0%
 
2.812.0%
 
3.112.0%
 
3.223.9%
 
3.312.0%
 
ValueCountFrequency (%) 
6.523.9%
 
6.323.9%
 
6.223.9%
 
6.135.9%
 
5.712.0%
 

2016/02_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.770588235
Minimum2.7
Maximum6.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:21.701056image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.15
Q14.05
median4.9
Q35.5
95-th percentile6.25
Maximum6.6
Range3.9
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.025727862
Coefficient of variation (CV)0.2150107726
Kurtosis-0.785124156
Mean4.770588235
Median Absolute Deviation (MAD)0.7
Skewness-0.1421979608
Sum243.3
Variance1.052117647
MonotocityNot monotonic
2020-11-24T21:54:21.804981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
547.8%
 
5.435.9%
 
6.135.9%
 
5.535.9%
 
4.535.9%
 
3.335.9%
 
4.235.9%
 
5.623.9%
 
5.223.9%
 
3.923.9%
 
Other values (18)2345.1%
 
ValueCountFrequency (%) 
2.712.0%
 
2.812.0%
 
3.112.0%
 
3.212.0%
 
3.335.9%
 
ValueCountFrequency (%) 
6.623.9%
 
6.312.0%
 
6.223.9%
 
6.135.9%
 
612.0%
 

2016/03_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.745098039
Minimum2.7
Maximum6.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:21.908689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.15
Q14.05
median4.8
Q35.5
95-th percentile6.2
Maximum6.6
Range3.9
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.017312877
Coefficient of variation (CV)0.2143923832
Kurtosis-0.794108842
Mean4.745098039
Median Absolute Deviation (MAD)0.7
Skewness-0.1157553269
Sum242
Variance1.03492549
MonotocityNot monotonic
2020-11-24T21:54:22.008626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
4.147.8%
 
5.535.9%
 
5.435.9%
 
5.135.9%
 
6.235.9%
 
3.335.9%
 
4.935.9%
 
623.9%
 
6.623.9%
 
5.623.9%
 
Other values (19)2345.1%
 
ValueCountFrequency (%) 
2.712.0%
 
2.812.0%
 
3.112.0%
 
3.212.0%
 
3.335.9%
 
ValueCountFrequency (%) 
6.623.9%
 
6.235.9%
 
6.112.0%
 
623.9%
 
5.912.0%
 

2016/04_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.725490196
Minimum2.7
Maximum6.6
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:22.111921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.15
Q14
median4.9
Q35.45
95-th percentile6.15
Maximum6.6
Range3.9
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.006745874
Coefficient of variation (CV)0.2130458074
Kurtosis-0.7838205554
Mean4.725490196
Median Absolute Deviation (MAD)0.8
Skewness-0.1304650477
Sum241
Variance1.013537255
MonotocityNot monotonic
2020-11-24T21:54:22.214713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
547.8%
 
5.447.8%
 
3.847.8%
 
3.335.9%
 
4.935.9%
 
4.135.9%
 
6.123.9%
 
623.9%
 
423.9%
 
6.623.9%
 
Other values (18)2243.1%
 
ValueCountFrequency (%) 
2.712.0%
 
2.812.0%
 
3.112.0%
 
3.212.0%
 
3.335.9%
 
ValueCountFrequency (%) 
6.623.9%
 
6.212.0%
 
6.123.9%
 
623.9%
 
5.912.0%
 

2016/05_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.715686275
Minimum2.8
Maximum6.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:22.328855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.15
Q13.95
median4.8
Q35.45
95-th percentile6.15
Maximum6.7
Range3.9
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.9855704032
Coefficient of variation (CV)0.2089982976
Kurtosis-0.7480188475
Mean4.715686275
Median Absolute Deviation (MAD)0.7
Skewness-0.07092320211
Sum240.5
Variance0.9713490196
MonotocityNot monotonic
2020-11-24T21:54:22.451469image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
547.8%
 
3.835.9%
 
4.135.9%
 
4.635.9%
 
5.335.9%
 
5.823.9%
 
4.823.9%
 
5.923.9%
 
3.323.9%
 
3.923.9%
 
Other values (21)2549.0%
 
ValueCountFrequency (%) 
2.812.0%
 
2.912.0%
 
3.112.0%
 
3.212.0%
 
3.323.9%
 
ValueCountFrequency (%) 
6.712.0%
 
6.612.0%
 
6.212.0%
 
6.112.0%
 
612.0%
 

2016/06_ur
Real number (ℝ≥0)

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.707843137
Minimum2.8
Maximum6.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:22.559860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.15
Q13.95
median4.9
Q35.45
95-th percentile6.15
Maximum6.7
Range3.9
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.9874903822
Coefficient of variation (CV)0.2097543086
Kurtosis-0.6699072772
Mean4.707843137
Median Absolute Deviation (MAD)0.7
Skewness-0.06621969687
Sum240.1
Variance0.9751372549
MonotocityNot monotonic
2020-11-24T21:54:22.662492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
4.959.8%
 
5.547.8%
 
4.235.9%
 
4.735.9%
 
5.123.9%
 
523.9%
 
5.923.9%
 
3.223.9%
 
3.923.9%
 
5.323.9%
 
Other values (21)2447.1%
 
ValueCountFrequency (%) 
2.812.0%
 
2.912.0%
 
3.112.0%
 
3.223.9%
 
3.312.0%
 
ValueCountFrequency (%) 
6.723.9%
 
6.212.0%
 
6.112.0%
 
612.0%
 
5.923.9%
 

2016/07_ur
Real number (ℝ≥0)

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.694117647
Minimum2.9
Maximum6.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:22.765948image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile3.05
Q14
median4.9
Q35.4
95-th percentile6.1
Maximum6.8
Range3.9
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation0.9861869528
Coefficient of variation (CV)0.2100899524
Kurtosis-0.5998398147
Mean4.694117647
Median Absolute Deviation (MAD)0.7
Skewness-0.05501455709
Sum239.4
Variance0.9725647059
MonotocityNot monotonic
2020-11-24T21:54:22.866212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
4.959.8%
 
5.135.9%
 
5.435.9%
 
4.835.9%
 
4.123.9%
 
2.923.9%
 
5.523.9%
 
423.9%
 
4.223.9%
 
523.9%
 
Other values (22)2549.0%
 
ValueCountFrequency (%) 
2.923.9%
 
312.0%
 
3.112.0%
 
3.212.0%
 
3.312.0%
 
ValueCountFrequency (%) 
6.812.0%
 
6.712.0%
 
6.212.0%
 
623.9%
 
5.912.0%
 

2016/08_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.658823529
Minimum2.9
Maximum6.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:22.967560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile3.05
Q14
median4.9
Q35.3
95-th percentile6.05
Maximum6.8
Range3.9
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation0.9853276553
Coefficient of variation (CV)0.2114970977
Kurtosis-0.5484973703
Mean4.658823529
Median Absolute Deviation (MAD)0.7
Skewness-0.03061405972
Sum237.6
Variance0.9708705882
MonotocityNot monotonic
2020-11-24T21:54:23.063892image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
559.8%
 
4.959.8%
 
435.9%
 
4.123.9%
 
623.9%
 
5.523.9%
 
2.923.9%
 
3.223.9%
 
3.323.9%
 
4.823.9%
 
Other values (19)2447.1%
 
ValueCountFrequency (%) 
2.923.9%
 
312.0%
 
3.112.0%
 
3.223.9%
 
3.323.9%
 
ValueCountFrequency (%) 
6.812.0%
 
6.712.0%
 
6.112.0%
 
623.9%
 
5.912.0%
 

2016/09_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.637254902
Minimum2.8
Maximum6.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:23.167713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile3.05
Q14
median4.9
Q35.3
95-th percentile6.05
Maximum6.8
Range4
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation0.9820307092
Coefficient of variation (CV)0.2117698358
Kurtosis-0.5506805253
Mean4.637254902
Median Absolute Deviation (MAD)0.7
Skewness-0.05558413382
Sum236.5
Variance0.9643843137
MonotocityNot monotonic
2020-11-24T21:54:23.264787image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
4.959.8%
 
547.8%
 
4.335.9%
 
435.9%
 
5.335.9%
 
3.335.9%
 
5.135.9%
 
5.423.9%
 
4.223.9%
 
5.923.9%
 
Other values (18)2141.2%
 
ValueCountFrequency (%) 
2.812.0%
 
2.912.0%
 
312.0%
 
3.112.0%
 
3.223.9%
 
ValueCountFrequency (%) 
6.812.0%
 
6.612.0%
 
6.112.0%
 
612.0%
 
5.923.9%
 

2016/10_ur
Real number (ℝ≥0)

Distinct29
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.596078431
Minimum2.8
Maximum6.8
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:23.367836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile2.95
Q14
median4.8
Q35.2
95-th percentile6.1
Maximum6.8
Range4
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation0.9951805433
Coefficient of variation (CV)0.2165281899
Kurtosis-0.5283066163
Mean4.596078431
Median Absolute Deviation (MAD)0.6
Skewness-0.01536322728
Sum234.4
Variance0.9903843137
MonotocityNot monotonic
2020-11-24T21:54:23.462870image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
559.8%
 
4.947.8%
 
435.9%
 
5.335.9%
 
4.235.9%
 
3.235.9%
 
4.823.9%
 
5.823.9%
 
5.123.9%
 
2.923.9%
 
Other values (19)2243.1%
 
ValueCountFrequency (%) 
2.812.0%
 
2.923.9%
 
312.0%
 
3.112.0%
 
3.235.9%
 
ValueCountFrequency (%) 
6.812.0%
 
6.612.0%
 
6.123.9%
 
5.912.0%
 
5.823.9%
 

2016/11_ur
Real number (ℝ≥0)

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.570588235
Minimum2.8
Maximum6.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:23.562939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile2.95
Q14
median4.8
Q35.2
95-th percentile6.1
Maximum6.7
Range3.9
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation0.9984576341
Coefficient of variation (CV)0.2184527642
Kurtosis-0.6031704626
Mean4.570588235
Median Absolute Deviation (MAD)0.7
Skewness-0.01935568911
Sum233.1
Variance0.9969176471
MonotocityNot monotonic
2020-11-24T21:54:23.658836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
4.959.8%
 
435.9%
 
5.235.9%
 
535.9%
 
4.335.9%
 
5.835.9%
 
4.135.9%
 
323.9%
 
4.523.9%
 
5.523.9%
 
Other values (18)2243.1%
 
ValueCountFrequency (%) 
2.812.0%
 
2.923.9%
 
323.9%
 
3.112.0%
 
3.223.9%
 
ValueCountFrequency (%) 
6.712.0%
 
6.612.0%
 
6.212.0%
 
612.0%
 
5.835.9%
 

2016/12_ur
Real number (ℝ≥0)

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.533333333
Minimum2.7
Maximum6.7
Zeros0
Zeros (%)0.0%
Memory size408.0 B
2020-11-24T21:54:23.762175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile2.95
Q13.95
median4.7
Q35.1
95-th percentile6.15
Maximum6.7
Range4
Interquartile range (IQR)1.15

Descriptive statistics

Standard deviation0.9939148186
Coefficient of variation (CV)0.2192459159
Kurtosis-0.5005841262
Mean4.533333333
Median Absolute Deviation (MAD)0.7
Skewness0.04545025868
Sum231.2
Variance0.9878666667
MonotocityNot monotonic
2020-11-24T21:54:23.858640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
4.859.8%
 
5.147.8%
 
4.335.9%
 
435.9%
 
4.123.9%
 
323.9%
 
5.523.9%
 
4.423.9%
 
2.923.9%
 
3.223.9%
 
Other values (20)2447.1%
 
ValueCountFrequency (%) 
2.712.0%
 
2.923.9%
 
323.9%
 
3.112.0%
 
3.223.9%
 
ValueCountFrequency (%) 
6.712.0%
 
6.612.0%
 
6.312.0%
 
612.0%
 
5.812.0%